DBRX ↗
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◎ San Francisco, United States
Databricks Mosaic Research develops DBRX models.
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Explore the institution’s research and team pages for its current members and collaborators.
OFFICIAL TEAM & RESEARCH DIRECTORY ↗Roles are tied to the linked sources. Paper authors are credited as contributors, which does not establish current employment.
Films are credited to their original channels. Selected presentations may include independent interviews and technical explanations.
The Account Executive role focuses on building Databricks' India business by prospecting new customers and growing existing accounts. Candidates must have 5+ years of sales experience in SaaS or Big Data, a Bachelor's degree, and experience exceeding sales quotas.
The Account Executive role in Singapore focuses on SaaS sales within the Big Data and Cloud sectors. Candidates must have a Bachelor's degree, 5+ years of SaaS experience, and a track record of exceeding sales targets.
This role involves owning an emerging territory in Japan to sell Databricks to growth-stage organizations. Candidates must have 3+ years of SaaS or AI sales experience and fluency in Japanese and business-level English.
The Accounting Data & Technology Manager serves as the S/4HANA expert for Databricks' Global Accounting team, leading the redesign of accounting processes and automation. The role requires 8+ years of experience in accounting systems and deep hands-on SAP S/4HANA FICO configuration expertise.
The Accounting Manager, Accounts Receivable role involves owning end-to-end technical AR accounting, global subledger consolidations, and the month-end close process. Candidates require 6+ years of AR and GL experience, strong U.S. GAAP judgment, and proficiency in ERP systems like SAP or NetSuite.
The AI Automation Engineer role involves building production-grade AI agents and automation services to improve employee IT experiences at Databricks. Candidates must have proficiency in Python or Go, experience with Git, CI/CD, and REST APIs, and a track record of shipping LLM-powered applications.
The AI Forward Deployed Engineer role involves developing and productionizing GenAI solutions for customer engagements at Databricks. Candidates must have 7+ years of experience in GenAI applications, production deployments, and data science, with fluency in Korean and English.
The AI Engineer role involves developing and deploying production GenAI and LLM applications for customer engagements. Candidates must have extensive industry experience with tools like HuggingFace and LangChain, along with a graduate degree in a quantitative discipline.
The AI Forward Deployed Engineer role involves developing and deploying production-grade GenAI applications for U.S. public sector clients. Candidates must have extensive hands-on data science experience, a graduate degree in a quantitative field, and expertise in tools like HuggingFace and LangChain.
The role is a Director, AI Sales (IC) at Databricks responsible for growing the enterprise AI business and shaping go-to-market strategy. Candidates must have enterprise sales or consulting experience in AI platforms and a track record of delivering growth against measurable goals.
This role leads Databricks' AI transformation strategy for high-priority customers, positioning the company as a strategic partner to the C-suite. It requires at least 15 years of experience in digital or AI transformation and 5 years working directly with enterprise executives.
The Alliance Leader owns McKinsey's partner management function, focusing on strategic planning, sponsor development, and business development. The role requires 10+ years of management consulting experience and the ability to work with senior executives to expand Databricks mindshare.
The Analyst Relations Manager leads priority analyst evaluations and creates differentiated narratives for Databricks across AI and data management. The role requires 4-7 years of experience in analyst relations or product marketing, strong technical writing, and the ability to scale workflows using AI tools.
This role leads Databricks' manufacturing and automotive go-to-market strategy across Asia Pacific and Japan. Candidates need 10+ years of manufacturing leadership experience, including 5 years in GTM or strategy within enterprise technology.
The Applied AI Engineer role involves building agentic machine learning systems and deploying classical ML solutions using Databricks' agents. Candidates need strong software engineering skills and experience developing AI/ML systems at scale in production environments.
This role is an Associate Product Manager position for the 2027 cohort at Databricks, focusing on understanding customer problems and prototyping solutions. Candidates must be graduating in Fall 2026 or Spring 2027 with a degree in computer science or a related engineering field.
This role focuses on building relationships with venture capital and private equity firms to create measurable value for their portfolio companies and Databricks. Candidates must have at least five years of sales experience in SaaS or big data companies and a strong network across VC and PE firms.
This role involves partnering with the sales team to develop territory strategy, build pipeline, and drive adoption of Databricks solutions. Candidates must have a bachelor's degree and at least two years of sales or business development experience.
The Business Development Representative role involves representing Databricks to prospective customers by building pipeline and developing territory strategy. Candidates must have a bachelor's degree and at least two years of sales or business development experience.
The role involves representing Databricks to prospective customers in the Middle East and African market from a hybrid Paris office. Candidates must be fluent in Arabic and English with C1 proficiency and demonstrate strong communication skills.
The role involves representing Databricks to prospective customers in the DACH region and developing sales skills in value-based selling, big data, and AI. Candidates must conduct account research, manage inbound and outbound communications, and progress conversations into sales opportunities.
The role is a Business Development Representative for Databricks in the UK and Ireland, focused on prospecting and generating sales opportunities. Candidates should have relevant professional experience, a genuine interest in big data and AI, and demonstrate determination to succeed.
This role manages physical logistics and in-person candidate experiences at Databricks' Mountain View or San Francisco offices. The primary responsibilities include coordinating interviews, troubleshooting on-site issues, and serving as the main point of contact for visiting candidates.
This role manages physical logistics and in-person candidate experiences at Databricks offices in Seattle and Bellevue. The primary responsibilities include coordinating interviews, troubleshooting on-site issues, and serving as the main point of contact for visiting candidates.
This role supports the CMO by managing critical business operations, strategic planning, and cross-functional initiatives for a 250-person marketing team. Candidates need 10+ years of marketing experience, proficiency in analytics and AI, and strong leadership skills.
This role is an Enterprise Account Executive in the Public Sector department responsible for closing net new accounts and driving platform adoption for government partners in Victoria. Candidates must have proven enterprise or public sector sales experience, strong communication skills, and a passion for using technology for the public good.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, focused on selling to enterprise accounts in Vietnam. Candidates must have 7+ years of enterprise sales experience, proficiency in Vietnamese, and experience selling big data, cloud, and SaaS solutions.
This Credit and Collections Manager role drives credit strategy, AR performance, and complex escalations within Databricks' high-growth Data/AI business. The position requires 12+ years of progressive experience in credit and collections, with strong analytical skills and a Bachelor's degree in Finance or Accounting.
The Customer Enablement Architect owns the commercial success of Databricks' training portfolio across the Americas Business Units. The role requires quota-carrying experience, enterprise learning strategy, and the ability to influence executive stakeholders to drive customer adoption and revenue growth.
The Customer Enablement Architect designs and leads talent-transformation programs across Australia and New Zealand to upskill data and AI professionals. The role requires 5+ years of experience in customer enablement or training, a hands-on builder mindset, and strong technical understanding of Databricks curricula.
The Customer Marketing Manager role in San Francisco develops customer stories and advocacy programs for Databricks' strategic accounts in the Americas. Candidates must have 4-7 years of experience in customer marketing or advocacy, with strong program management and AI workflow skills.
The CustomerLake Sales Specialist role involves building pipeline and driving revenue for Databricks' CustomerLake product alongside regional Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and proven marketing technology sales experience, particularly with CMOs and CRM leaders.
This role involves joining the Data team to turn business and operations data into insights for product design and customer acquisition. Candidates must have a Master's or PhD in a quantitative field and experience with SQL, Python, and statistical data analysis methods.
This role owns end-to-end workforce transformation engagements for Databricks' largest enterprise customers, managing 2 to 3 concurrent projects. Candidates must have 8+ years leading organizational transformation in technology adoption and experience with C-suite sponsors.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python or Spark.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, with programming skills in Python, Spark, and Databricks.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and ROI. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 5+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves partnering with sales and engineering teams to design and implement scalable Databricks data and AI solutions for customers. Candidates must have five or more years of experience in solutions architecture or related technical roles, along with strong proficiency in Python or SQL.
The Delivery Solutions Architect serves as a trusted technical advisor to key customers, designing and scaling data and AI solutions on the Databricks platform. The role requires 5+ years of experience in data or AI project delivery, along with strong architectural skills in PySpark, Python, and distributed data systems.
The Delivery Solutions Architect partners with Sales and Field Engineering to design and scale Databricks data and AI solutions for customers. The role requires 5+ years of technical experience, strong coding proficiency, and the ability to lead architecture discussions.
The Delivery Solutions Architect role involves leading technical and commercial strategies for key Databricks accounts to drive platform adoption and consumption. Candidates must have 8+ years of experience in customer-facing technical roles and proficiency in Korean and English.
This role involves leading post-sale technical account strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and ROI. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect partners with sales and engineering teams to design and implement scalable Databricks data and AI solutions for Digital Native customers. The role requires strong technical expertise in distributed systems, coding proficiency, and the ability to guide architectural decisions across complex use cases.
The Delivery Solutions Architect partners with sales and engineering teams to design and implement scalable Databricks data and AI solutions for customers. The role requires strong technical expertise in distributed systems, coding proficiency, and the ability to guide architectural decisions across complex use cases.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
This role involves leading post-sale technical strategy and execution for Databricks customers in healthcare and life sciences. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers, focusing on platform adoption and maximizing return on investment. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical account strategy and execution for Databricks customers. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical account strategy and execution for Databricks customers in the defense sector. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for Databricks customers in the public sector. Candidates must have 7+ years of experience in data and AI project delivery, along with Python, SQL, or Scala programming skills.
This role involves leading post-sale technical strategy and execution for Databricks in public sector accounts, requiring accountability for complex data and AI workloads. Candidates must have 7+ years of experience in technical delivery, customer-facing roles, and distributed data systems, with proficiency in Python, SQL, or Scala.
This role involves leading post-sale technical account strategy and execution for Databricks customers, focusing on driving platform adoption and maximizing ROI. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
This role involves leading post-sale technical strategy and execution for Databricks in the SLED sector, requiring accountability for complex customer use cases. Candidates must have 7+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Delivery Solutions Architect role involves leading post-sale technical strategy and execution for startup and emerging enterprise customers on the Databricks platform. Candidates must have 5+ years of experience in data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Deployment Strategist acts as a product manager for customer problems, scoping high-value AI opportunities and defining the Minimum Viable Product. The role requires C-suite communication skills, product thinking, and experience managing agile software projects.
The Deployment Strategist acts as a product manager for customer problems, bridging business needs and technical solutions from discovery to production launch. The role requires executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding proficiency.
The Deployment Strategist acts as a product manager for customer problems, bridging business needs and technical solutions from discovery to production launch. The role requires executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding proficiency.
The Deputy Facility Security Officer partners with the Industrial Security Lead to administer NISPOM, personnel, and contract security programs. The role requires 5+ years of industrial security experience, an active U.S. government clearance, and proficiency with DISS, NISS, and SWFT systems.
This role involves selling Databricks products to digital native accounts in Thailand, requiring 5+ years of relevant sales experience and proficiency in Thai. Candidates must demonstrate success in exceeding quotas, managing complex sales cycles, and collaborating with cross-functional teams to close new business.
The role is a Digital Native Hunter Account Executive in Singapore responsible for selling to startup accounts in the ASEAN market. Candidates must have 3+ years of relevant sales experience, a Bachelor's degree, and proficiency in solution-based selling and Salesforce.
This role involves selling Databricks' data and AI platform to high-growth, venture-backed companies in a focused territory. Candidates must be self-starters who understand consumption sales, prospecting, and complex deal management.
This role is an enterprise sales position for the Nordics focused on closing new accounts and expanding existing ones within the Digital Native segment. Candidates must be experienced in selling to technical buyers, proficient in MEDDPICC, and fluent in English and Swedish.
The Director of Engineering leads critical initiatives to enhance developer productivity and integrate AI tools into workflows. The role requires 15+ years of experience building large-scale distributed systems and managing high-performance teams.
This role leads the data infrastructure organization in Bengaluru, focusing on building reliable systems for petabyte-scale data processing and billing. Candidates must have 14+ years in distributed systems and 6+ years leading infrastructure organizations.
This role serves as a strategic finance partner to Americas Sales leadership, focusing on data-driven investment decisions and business performance. Candidates must have 10+ years of experience in FP&A or corporate finance and strong skills in financial modeling and executive communication.
This role leads a post-sales technical organization to help government customers implement Databricks data and AI initiatives. Candidates must have 7+ years of customer-facing technical delivery experience and 5+ years of people leadership.
The role is an Enterprise Sales Leader responsible for leading the Malaysia and Indonesia business and managing a team of Enterprise Account Executives. Candidates must have at least 10 years of senior executive experience in a leading software company and 5+ years leading a high-growth Data & AI sales team.
The Director of Sales will lead the Enterprise Hunting segment and an existing team of Account Executives. The role requires 3+ years of experience leading high-growth sales teams in Big Data, Cloud, or AI spaces.
The role is an Enterprise Sales Director for Databricks' Public Sector business in Ottawa, responsible for leading a team of account executives and achieving quota. Key requirements include experience as a high-growth enterprise sales leader in the Data, AI, or SaaS industry, specifically within the Public Sector.
This role leads the event technology organization and roadmap for Databricks' global events, focusing on reliability, security, and scalability. Candidates must have 12+ years of experience in event or marketing technology, including 5+ years leading teams and managing complex event ecosystems.
This role leads first-line managers and pre-sales Solutions Architect teams in Toronto to drive expansion across various industries. Candidates require 5+ years of second-line leadership experience, complex account management, and a Bachelor's degree in a relevant field.
The Director of Field Engineering in Tokyo leads first-line managers and pre-sales Solutions Architects to drive expansion in manufacturing and automotive sectors. The role requires second-line leadership experience, deep Japan market knowledge, and the ability to manage complex strategic accounts generating over $5M in ARR.
This Director role leads a multi-team Field Engineering organization, owning strategy, talent, and execution for a significant business area. Candidates must have extensive experience leading technical customer-facing organizations and strong technical credibility in data, AI, and cloud platforms.
This role leads the global training delivery function for Databricks, managing FTE and partner instructor workforces to evolve toward an AI-first delivery model. The position requires data fluency, workforce planning expertise, and experience developing technical instructors across multiple regions.
The role involves building and scaling Databricks' global communications strategy across Europe, Asia, and the Americas. It requires 12+ years of international communications experience, strong people management skills, and the ability to manage PR agencies and regional media relationships.
This role leads a regional team of Lakebase Sales Specialists to drive revenue growth for Databricks' operational data platform. Candidates must have 8+ years in enterprise sales and 3+ years managing high-performing sales teams.
This role leads a regional team of Lakebase Sales Specialists in Munich to drive Databricks Lakebase revenue growth and pipeline development. Candidates must have strong sales leadership experience, deep technical domain expertise, and a proven track record of executing specialized GTM motions.
This role owns global marketing planning and investment strategy while redesigning workflows for an AI and agentic operating model. Candidates need deep experience in B2B marketing strategy and demonstrated success in building agent workflows and driving organizational adoption.
This role leads a specialized team to oversee usage-based revenue compliance, product metering, and financial accounting at Databricks. The position requires 12+ years of experience in revenue accounting, IT audit, and SOX controls, with expertise in ASC 606 and complex partner royalty agreements.
The Director, Paid Media leads Databricks' global media planning function to drive brand awareness, demand generation, and pipeline growth. The role requires 10+ years of B2B SaaS experience, strong team leadership, and expertise in full-funnel marketing measurement and global strategy.
This role leads Databricks' global People M&A function, overseeing end-to-end deal lifecycles from due diligence to post-merger integration. Candidates must have 12+ years of HR experience, including 8+ years leading global M&A deals in high-growth tech environments.
This role leads product marketing for Databricks AI, overseeing strategy for Agent Bricks and core machine learning products. Candidates need 10+ years of technical product marketing experience, team leadership skills, and a strong portfolio of AI-focused marketing content.
This role leads the global technical Revenue Assurance function for EMEA/APAC and serves as the Country Lead for the new Databricks Ireland entity. Candidates must have 15+ years of finance experience, including 5+ years in technical revenue recognition, and hold an active Chartered Accountant qualification.
The Director of Strategic Partnerships structures and negotiates long-term alliances with cloud hyperscalers and Neoclouds to drive Databricks business growth. The role requires 7+ years of business development experience, strong analytical skills, and the ability to lead cross-functional initiatives.
This role leads the Technical Marketing team at Databricks to scale content for technical buyers and drive product adoption. Candidates must have 10+ years of experience in technical marketing or related fields and 3+ years of people management.
The role leads the modernization of the global travel and expense ecosystem to improve employee experience and financial governance. Candidates must have 10+ years of leadership experience in T&E transformation and strong operational skills.
This role leads Databricks' web marketing function globally, focusing on scaling web properties for human and AI audiences. The candidate must have 10+ years of experience in web marketing or development and 5+ years managing a team.
This role involves owning an emerging territory in Japan to sell Databricks' data and AI platform to growth-stage organizations. Candidates must have at least three years of closing experience in SaaS or cloud sales and fluency in Japanese and business-level English.
This role involves owning a book of 10 to 20 mid-sized Canadian companies and running the full sales cycle from discovery to close. Candidates must have 3+ years of full-cycle B2B sales experience and demonstrate comfort with consumption-based models.
This role involves selling Databricks solutions to Emerging Enterprise and Digital Native accounts in the DACH region. Candidates must have strong closing experience in SaaS or Big Data/AI sales and fluency in English and German.
The Engagement Manager drives customer success by managing professional services and training engagements from orchestration to delivery. The role requires strong service delivery, program management, and communication skills in Japanese and English.
This role leads the Connect organization in India, focusing on building data ingestion connectors for Databricks. The candidate must have 10+ years of experience in distributed systems and cloud platforms, with a track record of managing high-performance teams.
This role is an Engineering Manager position in Databricks India's Executive Engineering department, focused on building scalable data and AI infrastructure. Candidates must have 10+ years of experience in large-scale distributed systems and extensive leadership experience managing software engineering teams.
This role leads a team responsible for critical components of Databricks' compute infrastructure platform, which launches tens of millions of VMs daily. Candidates must have 10+ years of experience in large-scale distributed systems and 3+ years of engineering management experience.
This role involves building and operating highly available, scalable platforms for Databricks' Core Experiences in Bengaluru. Candidates must have 5+ years of distributed systems experience and 2+ years managing teams building high-volume SaaS systems.
This role leads the Data Visualization team in Bellevue, managing frontend development for AI/BI dashboards and visualization frameworks. Candidates require 5+ years of frontend experience, 2+ years of management experience, and expertise in React and data visualization technologies.
The Engineering Manager leads a team to build the next-generation low-latency, multi-tenanted, cloud-native data warehousing system for Databricks SQL. Key requirements include 5+ years of experience in database systems, building highly available cloud services, and managing high-performance engineering teams.
This role leads the Identity and Access Management team at Databricks, defining strategy for authentication and authorization services. Candidates must have 9+ years of software engineering experience and 2+ years of engineering leadership experience.
This role leads the Spark Structured Streaming team to develop state-of-the-art stream processing capabilities for Databricks. Candidates must have 5+ years of experience in streaming, query processing, or big-data systems and a track record of leading engineering teams.
This role leads the UI Platform team to enhance the frontend developer experience at Databricks. Candidates must have 5+ years of web frontend experience and 2+ years managing engineering teams.
This role leads the App Traffic team, which builds and operates Databricks' unified service mesh for ingress, service discovery, and traffic management across multiple clouds. The position requires 9+ years of software engineering experience, including 2+ years of engineering leadership, and strong technical judgment for complex distributed systems.
This role leads the engineering team building Profile Agents for Databricks' CustomerLake platform, focusing on identity resolution and agentic pipeline generation. Candidates need 3+ years of engineering management experience and 8+ years building production data or distributed systems.
This role involves owning the end-to-end delivery of the Execution Sandbox Service and managing a team of senior engineers. Candidates must have 5+ years managing distributed systems and deep technical fluency in infrastructure architecture.
This role involves leading complex sales cycles for Databricks in the Energy & Utilities sector in Sydney. Candidates must have a proven track record in sales and experience selling Big Data, Cloud, or SaaS technologies.
The Enterprise Account Executive role in Sydney focuses on expanding Databricks' footprint with existing customers and converting prospects into new accounts. Candidates must have a proven sales track record, strong prospecting skills, and experience selling data platforms or cloud technologies.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, responsible for selling to Enterprise accounts in the Greater China region. The position requires 7+ years of enterprise sales experience, field sales background in big data or SaaS, and business proficiency in Mandarin.
This role is an Enterprise Account Executive in Databricks' Enterprise Sales department, responsible for selling to Enterprise accounts in the Greater China region. The position requires 7+ years of enterprise sales experience, field sales background in big data or SaaS, and business proficiency in Mandarin.
The Enterprise Account Executive role focuses on expanding Databricks' presence among consumer and distribution companies in the UK and Ireland. Candidates must have strong closing experience, sales knowledge in cloud data and AI software, and familiarity with sales methodologies to drive adoption and manage complex enterprise accounts.
This role involves managing strategic enterprise accounts in the CPG sector for Databricks, focusing on driving value-based growth and expanding the company's footprint. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
The Enterprise Account Executive role focuses on acquiring and growing FSI customers in Japan by closing new accounts and expanding existing ones. Candidates must have 5+ years of experience selling complex software deals to enterprise FSI customers and proficiency in sales methodologies like MEDDPICC.
This role involves leading go-to-market campaigns for enterprise accounts in the gaming sector at Databricks. Candidates must have 7+ years of enterprise sales experience, a bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves identifying and acquiring new Enterprise accounts across multiple industries to drive revenue growth. Candidates must have 5+ years of experience selling complex software deals and managing long sales cycles.
The role involves growing strategic Manufacturing customers for Databricks in the UK by developing business plans and leading complex sales campaigns. Candidates must have experience in Big Data, cloud proof of concepts, and exceeding sales quotas in high-growth enterprise software companies.
This role involves owning and growing Databricks' Public Sector business in the Republic of Ireland and Scotland. Candidates must have a track record of selling into public-sector accounts and the ability to build a territory-level go-to-market strategy.
This role involves owning strategic sales into Japan's public sector to drive adoption of Databricks' data and AI platform. Candidates must have 8+ years of SaaS or cloud sales experience in Japan with a proven ability to navigate complex government procurement and stakeholder ecosystems.
This role involves driving the adoption of Databricks across a select group of organizations in the Middle East and Africa region. Candidates must have a strong background in new business development and a track record of closing consumption-based SaaS quotas.
This role involves selling Data & AI solutions to sports organizations, focusing on closing new enterprise accounts and growing consumption. Candidates must have 4-6 years of experience in value selling, open source technologies, and consumption-based sales motions.
The Enterprise Account Executive role focuses on growing Databricks usage within the Telecommunications industry in Japan. Candidates must have 10+ years of experience selling complex software deals to enterprise telecom customers and 5+ years of sales methodology experience.
This role involves owning and growing strategic UK Public Sector accounts for Databricks, focusing on expanding usage of the Intelligence Platform. Candidates must have a strong track record in public-sector sales, quota attainment, and experience managing inherited account portfolios.
The role is an Enterprise Account Executive for the Utilities sector in London, focused on growing strategic enterprise accounts and driving revenue. Candidates must have experience selling into the Utilities industry and managing large, complex, multi-national accounts.
This role involves selling Databricks' Data Intelligence Platform to enterprise accounts in the Benelux region. Candidates must have direct sales experience, understand consumption sales, and be proficient in MEDDPICC.
The role involves driving sales of Databricks within Federal Civilian accounts, managing complex sales cycles, and closing net new logos. Candidates must have 5+ years of field sales experience, Federal Civilian experience, and a background in big data, cloud, or SaaS sales.
This role involves selling Databricks' enterprise cloud data platform to Federal Financials accounts within the Federal Civilian space. Candidates must have field sales experience in big data, cloud, or SaaS, along with 5+ years of experience exceeding sales quotas.
This role involves selling Databricks' data platform to two large Healthcare and Payer accounts. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise sales cycles.
The role is an Enterprise Account Executive in the Nordics region, responsible for owning a territory of approximately 10 large enterprise accounts. Candidates must have at least four years of software sales experience and demonstrate proficiency in consumption sales and MEDDPICC.
This role involves owning strategic sales into Canada's public sector to drive adoption of Databricks' data and AI platform. Candidates must have 7+ years of SaaS or cloud sales experience in the public sector and expertise in navigating complex government procurement processes.
This role leads a team of Enterprise Named and Strategic Account Executives in the Retail and Grocery sectors for Databricks. The position requires experience as a high-growth enterprise software sales leader with a focus on methodology-based coaching and value-based sales.
This role leads a team of Enterprise Named and Strategic Account Executives in the Telco and Utilities verticals within the UKI region. The position requires experience as a high-growth enterprise software sales leader with a history of exceeding quotas and managing sales organizations in the Data, AI, Cloud, or SaaS industry.
This role involves leading the architecture and productionization of data and AI solutions on the Databricks platform for enterprise customers. Candidates must have six or more years of experience in data engineering or software development, with deep expertise in Apache Spark and at least one major cloud ecosystem.
The role supports Databricks executive leadership in Costa Rica by managing complex calendars, coordinating travel, and planning high-impact events. Candidates require 5+ years of executive administrative experience, advanced calendar management skills, and C1 English proficiency.
This role supports two to three Sales Executives across EMEA by managing complex multi-time-zone calendars, coordinating high-volume interviews, and planning executive travel. Candidates require 5+ years of executive administrative experience, C1 English proficiency, and advanced calendar management skills.
This role supports R&D leaders in Amsterdam and EMEA by managing complex calendars, travel, and executive meetings. Candidates need 5+ years of executive administrative experience, C1 English, and advanced calendar management skills.
This role is a senior, customer-facing Field CTO for Databricks' Americas Industries Business Unit, focusing on data and AI strategy for regulated industries. The position requires 15+ years of experience in enterprise technology, consulting, and regulated sectors, with strong C-level relationship management and technical proficiency.
The Field Enablement Manager builds enablement strategies for Databricks' Emerging Business and LATAM segments to improve seller skills and pipeline. The role requires 6+ years of experience in sales enablement and the ability to build scalable programs for high-velocity sales motions.
This role leads a team of Specialist Solutions Architects to support complex technical sales cycles and customer engagements for Databricks. Candidates must have 5+ years of experience managing data and AI engineering teams and native Korean proficiency.
This role leads a team of Specialist Solutions Architects responsible for technical sales cycles and complex customer engagements. The manager must have 5+ years of experience leading data and AI engineering teams and hands-on experience with highly technical platforms.
This role leads a portfolio of complex, high-visibility technical programs within Databricks' Professional Services Operations. Candidates must have 5-8 years of experience managing technical programs and possess native-level Korean fluency.
This role serves as the technical authority for data pipelines and AI systems within Databricks' Finance and Accounting organisation. Candidates must have 12+ years of experience in data engineering or finance systems, with deep proficiency in SQL, Python, and the Databricks platform.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have 7+ years of experience in data engineering or software, with expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must have 6+ years of experience in data or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have 8+ years of experience in data engineering or software, with expertise in Apache Spark and at least one cloud ecosystem.
The Forward Deployed Engineer embeds with strategic customers to design and deliver custom fullstack applications on the Databricks platform. The role requires strong software engineering skills, customer-facing collaboration, and the ability to lead architecture and production system delivery.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 5+ years of experience in data engineering or software engineering and proficiency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The role involves leading customer technical projects and owning architecture for data and AI solutions on the Databricks platform. Candidates must have strong experience in data engineering or software engineering, with expertise in Python, Scala, or JavaScript/TypeScript and Apache Spark.
The role involves leading architecture and design decisions for production-grade data and AI solutions on the Databricks platform. Candidates must have strong experience in data engineering or software development, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role leads a team of 8+ individual contributors to build and productionize data and AI solutions on the Databricks platform. Candidates must have 8+ years of technical experience, 2+ years managing technical teams, and a Databricks certification.
This role leads a global team of specialists to grow the Databricks Genie business and establish a new sales motion. Candidates must have 15+ years in enterprise software sales and 5+ years leading high-performing sales teams.
This role is an Enterprise Geo Hunter Account Executive at Databricks focused on selling to Financial Services accounts. Candidates must have field sales experience in big data, cloud, or SaaS, along with 4+ years of experience exceeding sales quotas.
The Global SAP Consolidations Manager owns end-to-end consolidation and intercompany accounting across Databricks' 23-entity global footprint. The role requires 10+ years of progressive accounting experience, a CA or CPA certification, and mandatory SAP S/4HANA Group Reporting expertise.
This role leads global workplace experience strategy and event execution for Databricks, focusing on scaling high-impact programming across multiple regions. Candidates must have 8-12+ years of experience in experiential events or hospitality within a global tech company and manage multi-million-dollar budgets.
This role leads the strategy and development of AI-native enablement systems for Databricks' field teams. Candidates must have 7+ years in GTM or sales enablement and build apps, skills, and processes to personalize training by role and segment.
This role involves building the strategy and enablement engine for Databricks' Global Sales Enablement team to drive revenue through product and alliance adoption. Candidates must have 7+ years of experience in sales enablement or GTM for technical data or AI platforms and demonstrate strong cross-functional influence.
The GTM Talent Sourcer role involves finding and assessing profiles for sales and technical roles while engaging passive talent. Candidates must have at least two years of sourcing experience in technical or go-to-market recruiting and a bachelor's degree.
This role serves as the Go-to-Market Leader for EMEA Financial Services, driving strategy for Banking, Payments, and Insurance. Candidates must have 10+ years of executive experience in Banking and intimate knowledge of European financial regulations.
The Head of Marketing for Japan leads country strategy and integrated marketing to accelerate pipeline growth and market expansion. The role requires 15+ years of enterprise marketing leadership, strategic business partnership, and fluency in Japanese and English.
The role is an Account Executive in Databricks' Enterprise Sales team based in Singapore, focused on the Indonesian market. Candidates must have a Bachelor's degree, 5+ years of SaaS sales experience, and the ability to engage C-Level executives.
This role is a Named Hunter Account Executive based in Singapore, responsible for closing new and existing enterprise accounts in the Philippines. Candidates must have 7+ years of enterprise sales experience, a bachelor's degree, and experience selling SaaS solutions to enterprise customers.
The Incident Manager leads critical production incidents and coordinates multi-team responses to mitigate impact and restore operations. The role requires 5+ years of experience in incident management or site reliability engineering, along with strong cloud infrastructure and observability skills.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within the Retail vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
This role involves driving Lakebase revenue and adoption within a defined territory by partnering with Account Executives and technical stakeholders. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business leaders.
This role involves driving Lakebase revenue and adoption within the Financial Services vertical by partnering with Account Executives and leading complex sales cycles. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms and operational databases to technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms to technical and business stakeholders.
The Lakebase Sales Specialist role drives revenue for Databricks' fully-managed Postgres offering by partnering with Account Executives to sell to technical and business stakeholders. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres for operational workloads. Candidates must have 7+ years of enterprise SaaS sales experience, native Portuguese skills, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
This role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres services. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory while partnering with Account Executives. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role is a Lakebase Sales Specialist Account Executive in Japan responsible for driving revenue and adoption of Databricks Lakebase. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role is a Lakebase Sales Specialist Account Executive within the Lakebase Go-To-Market team, responsible for driving revenue and adoption of Databricks Lakebase in the Greater China region. Candidates must have 7+ years of enterprise SaaS sales experience, strong technical selling skills, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving new Lakebase revenue by identifying and closing opportunities within a defined territory in partnership with Account Executives. Candidates must have extensive enterprise SaaS sales experience and the ability to sell to both technical and business stakeholders.
The role is a Lakebase Sales Specialist Account Executive in Singapore responsible for driving revenue and adoption of Databricks Lakebase in the Greater China region. Candidates must have 7+ years of enterprise SaaS sales experience, strong Mandarin proficiency, and the ability to manage complex multi-stakeholder sales cycles.
The role is a Lakebase Sales Specialist Account Executive in the Greater China region, responsible for driving revenue and adoption of Databricks Lakebase. Candidates must have 7+ years of enterprise SaaS sales experience, strong Mandarin proficiency, and the ability to manage complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue by identifying and qualifying opportunities within a defined territory, partnering with Account Executives to sell fully-managed Postgres for operational workloads. Candidates must demonstrate enterprise SaaS sales experience, strong value selling skills, and the ability to engage both technical and business stakeholders.
The role involves driving Lakebase revenue by identifying and closing opportunities within a defined territory in partnership with Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in selling data platforms to technical and business stakeholders.
The role involves driving Lakebase revenue in the Central region by identifying and qualifying opportunities for Databricks' fully-managed Postgres offering. Candidates must have 7+ years of enterprise SaaS sales experience and the ability to lead complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue by identifying and closing opportunities in partnership with Account Executives across the Central region. Candidates must demonstrate strong enterprise SaaS sales experience, technical understanding of data architectures, and the ability to lead complex, multi-stakeholder sales cycles.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
The role involves driving Lakebase revenue and activations within a defined territory by partnering with Account Executives. Candidates must have enterprise sales experience, strong technical understanding of data architectures, and the ability to sell to both technical and business stakeholders.
This role involves driving Lakebase revenue in Sydney by identifying and closing opportunities for Databricks' fully-managed Postgres offering. Candidates must have 7+ years of enterprise SaaS sales experience and the ability to sell to both technical and business stakeholders.
This role involves leading legal support for strategic technology partnerships and complex transactions at Databricks. Candidates must have at least 10 years of experience, a J.D., and deep knowledge of AI and cloud platform contracts.
The Lead Engagement Manager delivers measurable impact for Digital Native Business customers and regional teams within the Forward Deployed Engineering organization. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to scope complex multi-quarter initiatives.
The Lead Engagement Manager delivers measurable impact for Healthcare & Life Sciences customers by scoping complex, multi-quarter initiatives within the Forward Deployed Engineering organization. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to mentor junior managers and shape sales strategy.
This role leads technical program management for complex customer engagements in the Forward Deployed Engineering team. Candidates must demonstrate technical acumen, strategic influence, and experience managing scope, budget, and risk without requiring hands-on coding.
The role involves owning the platform learning experience for Databricks customers and partners by defining the product vision for AI-first learning systems. Candidates must have 5-8+ years of experience in product management or learning platforms, with a track record of owning product areas end-to-end and collaborating with engineering and design teams.
The Lead Solutions Architect role involves owning complex enterprise relationships in the DACH region and delivering technical and commercial solutions. Candidates must have substantial pre-sales experience, deep data expertise, and hands-on coding skills in Python and SQL.
This role is a Lead Solution Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solution Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect focused on Generative AI for Databricks' EMEA Emerging DNB business unit. The position requires deep expertise in LLMs, applied machine learning, and the Databricks platform to design production-grade GenAI architectures and mentor field engineering teams.
This role is a Lead Solutions Architect for a strategic MedTech customer, responsible for owning the technical relationship and Data + AI vision. The position requires 10+ years of experience in data engineering or AI architecture and the ability to lead virtual teams and drive enterprise platform strategy.
This role leads the development of a global Field Engineering capability portfolio, including skills verification and readiness pathways. Candidates must have 6+ years of experience in technical enablement or product management and strong strategic judgment.
This role leads GTM technical and product execution excellence within Databricks, partnering with the SVP of Field Engineering to define strategy and drive scale. Candidates must have 10+ years of experience in strategy or technical leadership and strong cross-functional influence.
The role involves reviewing and negotiating commercial agreements for Databricks' EMEA business while supporting sales teams. Candidates must be qualified lawyers with approximately three years of PQE and SaaS commercial experience.
The role involves building and leading a team of Delivery Solution Architects to shape post-sales delivery strategy for major customers in the SEMEA region. Candidates must have 10+ years of customer-facing experience, team leadership skills, and technical expertise in Cloud, Data, and AI domains.
This role involves building and leading a team of Delivery Solution Architects responsible for post-sales customer success and technical strategy. Candidates must have 5+ years managing customer-facing technical teams and experience putting data and AI workloads into production.
This role involves building and leading a team of Delivery Solution Architects to manage post-sales success for Databricks' largest Financial Services customers. The manager sets technical strategy, partners with sales and professional services, and drives measurable customer outcomes such as use-case throughput and renewal rates.
This role leads a team of Delivery Solutions Architects to accelerate production-grade Data and AI workloads for healthcare and life sciences customers on the Databricks platform. Candidates must have 8+ years in customer-facing technical roles, 3+ years managing teams, and expertise in regulated environments, cloud-native Lakehouse architectures, and secure ML operations.
This role involves building and leading a team of Delivery Solution Architects in the Canada region to manage post-sales technical strategy for enterprise customers. The manager must have 7+ years of customer-facing experience, strong Databricks technology knowledge, and proven success in leading technical post-sales teams.
This role leads Databricks' open source Developer Relations team, managing advocates and deepening engagement with Apache and Linux Foundation communities. Candidates must have 8+ years in developer relations and technical roles, plus 2+ years managing a DevRel team.
This role leads Databricks' open source Developer Relations team, managing advocates and deepening engagement with Apache and Linux Foundation communities. Candidates must have 8+ years in developer relations and technical roles, plus 2+ years managing a DevRel team.
This role leads the Data visualization and UC Business Semantics teams within Databricks' AI/BI department. Candidates must have 5+ years of distributed systems experience and 2+ years managing SaaS engineering teams.
This role leads a technical pre-sales team of Solutions Architects in the Japan region, focusing on designing data-driven solutions and driving business growth. Candidates must have proven experience managing technical teams in Big Data, Cloud, or SaaS environments, along with strong collaboration and communication skills.
This role leads a team of technical pre-sales Solutions Architects for enterprise Named Accounts in the Benelux region. The manager must coach SAs on complex architectures, drive AI adoption, and partner with Sales to meet consumption targets.
This role leads a team of Specialist Solution Architects in the Life Science vertical to drive Databricks consumption and technical wins. Candidates need 2+ years of leadership experience, expertise in healthcare and life science solutions, and knowledge of regulations like HIPAA and HL7.
This role involves leading a team of Solutions Architects for the Financial Services industry within Databricks' Field Engineering department. Candidates must have 7+ years of data experience and 3+ years leading technical pre-sales teams to drive customer success and revenue.
This role leads a team of 8-10 Field Engineering professionals to solve complex data, analytics, and AI challenges for enterprise customers. Candidates must have experience managing technical teams, partnering with sales, and maintaining technical credibility in cloud and AI platforms.
This role leads a team of 8-10 Field Engineering professionals to solve complex data, analytics, and AI challenges for enterprise customers. Candidates must have experience managing technical teams, partnering with sales, and maintaining technical credibility in cloud and AI platforms.
This role involves managing a team of Solutions Architects for Databricks' Manufacturing Segment within the Field Engineering organization. Candidates must have 7+ years in the Data + AI space and 3+ years leading technical pre-sales teams.
This role manages a team of Solutions Architects to drive Databricks platform adoption at large tech companies. Candidates need 4+ years in data technology and 3+ years leading technical customer-facing teams.
This role manages a team of Solutions Architects to drive Databricks platform adoption at large tech companies. Candidates need 4+ years in data technology and 3+ years leading technical customer-facing teams.
This role involves leading a pre-sales team of Solutions Architects and Engineers in France to design value-based solutions and drive growth. Candidates must have experience managing technical teams in Big Data, Cloud, or SaaS environments and possess native-level French and fluent English.
This role leads a team of Specialist Solutions Architects responsible for technical sales cycles and customer engagements. The manager must guide team effectiveness, support complex sales cycles, and build relationships with key stakeholders in large corporations.
This role involves leading a team of technical pre-sales Solutions Architects and Engineers in Italy to drive revenue and support complex sales cycles. Candidates must have experience managing Big Data or SaaS teams and possess native Italian and fluent English communication skills.
This role leads a team of Forward Deployed Engineers and AI Engineers in Sydney, focusing on data migrations and AI solutions for enterprise clients. Candidates require 4+ years of people leadership and 5+ years of hands-on technical experience in data or AI engineering.
This role involves hiring and managing Big Data Engineers and Architects while overseeing customer projects in the Databricks ecosystem. Candidates must have 12+ years of industry experience, 4+ years leading technical teams, and extensive Big Data expertise.
This role leads a team of Forward Deployed Engineers to deliver data migrations and AI solutions for enterprise customers. Candidates must have 4+ years leading technical teams and 5+ years as a technical solutions architect or data/AI engineer.
This role leads global pipeline strategy and executive governance for Databricks' Sales Development organization. Candidates must have GTM strategy experience and strong analytical skills to design capacity models and AI-native workflows.
This role serves as an embedded insights partner to the EMEA Marketing VP/GM, focusing on forecasting, performance analysis, and operational telemetry. Candidates require 6+ years in GTM strategy, FP&A, or consulting, with strong B2B demand-generation and forecasting experience.
This role requires managing and hiring an outbound Business Development Representative team to drive pipeline generation in the Public Sector. Candidates must have at least two years of sales experience, including one to two years managing outbound sales development teams in a SaaS environment.
The role is a Senior Manager, Strategy & Operations position within Databricks' Field Engineering team, focused on defining Go-To-Market strategy and building data analytics foundations. Candidates must have 7+ years of experience in strategy, operations, or FP&A, along with proficiency in SQL, Excel, and BI tools.
The Manager, Technical Solutions Spark role leads a regional Data & AI team in Bengaluru to support customer production workloads across APJ and EMEA. Candidates require 10+ years in IT with 3+ years of management experience and production-scale expertise in Big Data or Machine Learning.
This role leads the AI Forward Deployed Engineering team in India, focusing on customer-facing AI transformation and professional services. Candidates must have strong technical depth in AI/ML, experience managing high-performing teams, and a graduate degree in a quantitative discipline.
The role is a Named Account Executive in the Healthcare and Life Science department for the Benelux region. Candidates must have extensive experience selling complex enterprise solutions and managing federated sales campaigns.
This role involves end-to-end ownership of enterprise accounts in Western Canada, focusing on the Energy, Mining, and Utilities sectors. Candidates must have 5+ years of enterprise sales experience, strong domain expertise, and the ability to drive pipeline growth and manage complex multi-stakeholder sales cycles.
This role is an Enterprise Account Executive for Databricks in the Nordics, responsible for selling data and AI solutions to existing customers and growing consumption. Candidates must have extensive experience selling complex enterprise solutions, managing federated sales campaigns, and exceeding sales quotas in high-growth software companies.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role is an Enterprise Account Executive responsible for selling Databricks' cloud data platform to enterprise accounts. Candidates must have 7+ years of enterprise sales experience, field sales background in big data or SaaS, and the ability to close new and existing accounts.
This role involves acquiring and growing public sector customers in Singapore for Databricks. Candidates must have 7+ years of SaaS sales experience and demonstrate success in enterprise or big data sales.
The role involves building relationships and closing new business opportunities within two of Germany's largest Retail companies for Databricks. Candidates must have proven enterprise sales experience in data, analytics, or AI, along with strong German and English language skills.
This role is an Enterprise Account Executive in Databricks responsible for selling to Enterprise accounts in Thailand. Candidates must have 7+ years of enterprise sales experience, proficiency in Thai, and experience in big data, cloud, or SaaS sales.
This role is an Enterprise Account Executive in Finland responsible for selling Databricks data and AI solutions to existing customers. The position requires extensive experience in complex enterprise sales, managing federated campaigns, and exceeding quotas in high-growth software companies.
The role is an Enterprise Account Executive in the Nordics responsible for selling Databricks data and AI solutions to existing customers. Candidates must have extensive experience selling complex enterprise solutions, managing federated sales campaigns, and exceeding sales quotas in high-growth software companies.
This role involves selling Databricks' enterprise cloud data platform to net-new accounts in the SaaS market. Candidates must have 5+ years of sales experience in SaaS or PaaS companies and a Bachelor's Degree.
This role involves selling Databricks' enterprise cloud data platform to large healthcare accounts in the Northeast and Southeast US. Candidates must have 5+ years of field sales experience in big data, cloud, or SaaS, with a preference for managing complex healthcare accounts and closing new logos.
This role involves driving new business for Databricks in the UK Public Sector by building pipeline and closing strategic deals. Candidates must have a track record of exceeding quota in public sector accounts and experience with cloud software or data and AI.
This role leads Procure-to-Pay transformation by designing and deploying automation and data solutions within business workflows. Candidates must have 4-8 years of experience in data analytics, process automation, or operations, with hands-on skills in SQL, Python, and workflow tooling.
The Partner Enablement Operations Manager designs and runs a scalable, data-driven operating model for partner enablement across AMER, EMEA, and APJ regions. The role requires 10+ years of operational leadership experience, strong analytical capabilities, and the ability to implement AI-enabled workflows to reduce manual effort and improve execution.
The Partner Solutions Architect role involves enabling Databricks' C&SI partners to help customers achieve data-driven outcomes using the Databricks platform. Candidates must have 5+ years of pre-sales or consulting experience, expertise in public cloud architectures, and proficiency in SQL, Python, Scala, or Java.
The Payroll Tax Manager serves as an internal subject matter expert on payroll tax, advising various teams on legislative changes and global policy. The role requires 5+ years of payroll tax experience, strong knowledge of US and international regulations, and experience with payroll systems and audits.
This role involves working with the research team on projects focused on adapting LLMs and AI systems towards enterprise domains. Candidates must have research experience in deep learning, be pursuing a PhD in computer science or related fields, and possess proficient software engineering skills with PyTorch.
This role involves leading a team of pre-sales Solutions Architects for complex Retail and CPG accounts in the UK and Ireland. The manager must drive revenue growth, scale the team, and build go-to-market strategies while mentoring technical professionals.
This role leads a multidisciplinary research team to advance large-scale machine learning, focusing on LLM scaling, efficiency, and systems performance. Candidates must define a research roadmap, drive algorithmic innovations, and translate breakthroughs into production capabilities.
This role leads brand content strategy and AI search visibility, requiring ownership of high-quality content creation and distribution. Candidates must have 10+ years of experience in content strategy or editorial leadership, with strong skills in GEO/AEO, SEO, and managing AI content agents.
The Principal Demand Generation Manager, Campaign Development leads integrated marketing campaigns and defines strategic frameworks for Databricks. The role requires 7+ years of experience, including 5+ in demand generation, and strong stakeholder management skills.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
The Principal Engineer - Privacy role involves creating the vision and strategy for security engineering at Databricks. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for security engineering at Databricks to protect customer data. Candidates must have 10+ years of experience in Data Security and expertise in at least two related areas, such as Cryptography or Kubernetes Security.
This role involves crafting a long-term vision for Authentication at Databricks, balancing security with user experience. Candidates must have 10+ years in Data Security and expertise in at least two related areas, plus 15+ years building large-scale distributed systems.
This role involves crafting a long-term vision for Authentication at Databricks, balancing security with user experience. Candidates must have 10+ years in Data Security and expertise in at least two related areas, plus 15+ years building large-scale distributed systems.
This Principal Engineer role leads Compute Fleet Management at Databricks, focusing on optimizing cloud resources across AWS, Azure, and GCP. The position requires deep experience in distributed systems and a track record of operating large-scale, mission-critical infrastructure.
This role leads a research team to advance large-scale machine learning, focusing on LLM post-training, RL, and inference efficiency. Candidates must define research roadmaps, drive algorithmic innovations, and translate breakthroughs into production systems.
The Principal Security Field Engineer role involves working with customers and field teams to explain Databricks security architectures and address compliance questions. Candidates need 7+ years of technical pre-sales or post-sales experience and strong communication skills for complex security concepts.
This is a 12-week paid summer internship for a Product Design Intern joining a cross-functional team to build features for the Databricks platform. Candidates must pursue a degree in design or a related field with an expected graduation date of December 2027 or Spring 2028.
This role is an Associate Product Designer position for the 2027 APD cohort at Databricks. Candidates must graduate in Fall 2026 or Spring 2027 with a degree in HCI or a related design practice.
This role leads product finance for Databricks' AI business, focusing on GPU supply planning, pricing, and unit economics. Candidates require 10+ years in strategic finance and experience building scalable financial systems.
This role leads R&D capital allocation and engineering operations at Databricks, partnering with senior leaders to drive product-level ROI and global workforce strategy. Candidates require 10+ years of experience in Strategic/Product Finance or R&D FP&A, with deep expertise in large-scale R&D OpEx and multi-site workforce planning.
This role involves owning the economics and financial operations of Databricks' multi-cloud platform spend, including driver-based forecasting and cost attribution. Candidates must have 8+ years of experience in Strategic/Product Finance or FinOps and deep fluency in public cloud infrastructure costs.
This is a 12-week paid summer internship in Product Management at Databricks, where interns work with teams to build platform features and manage projects end-to-end. Candidates must be pursuing a degree in computer science or a related engineering subject and possess experience with SQL and/or Python.
This is a 12-week paid summer internship in Product Management at Databricks, focusing on customer problem-solving and platform feature development. Candidates must be graduating in 2027-2028 with experience in SQL, Python, and AI tooling.
This is a 12-week paid summer internship in Product Management at Databricks, where interns work with teams to build platform features and manage projects end-to-end. Candidates must be pursuing a degree in computer science or a related engineering subject and possess experience with SQL and/or Python.
This is a 12-week paid summer internship in Product Management at Databricks, focusing on customer problem-solving and feature development. Candidates must be graduating in Fall 2027 or Spring 2028 with experience in SQL, Python, and AI tooling.
This role is an Associate Product Manager position for the 2027 cohort in Amsterdam. Candidates must graduate between Fall 2026 and Summer 2027 with a degree in computer science or related engineering.
This role is an Associate Product Manager position for the 2027 cohort in Belgrade, focused on prototyping and shipping features for the Databricks platform. Candidates must be graduating in Fall 2026 or Spring 2027 with a degree in computer science or a related engineering field.
This role is an Associate Product Manager position for the 2027 cohort in Berlin. Candidates must graduate between Fall 2026 and Summer 2027 with a degree in computer science or related engineering.
The Program Analyst, Legal Ops (Commercial) role supports Databricks' Commercial Legal team by managing high-priority AI and scaling initiatives. Candidates must have three or more years of experience in legal operations, program management, or contracts, along with strong project management and communication skills.
This role owns the contracting engine for US and international public-sector deals at Databricks, reporting to the Director & Associate General Counsel. Candidates must have 6+ years in government contracts or public procurement at a technology company and experience with SaaS and cloud contracting.
The Public Sector Field Enablement Manager develops strategies to help Databricks win new public sector customers and grow platform consumption. The role requires 6+ years of experience in sales or field enablement, with specific expertise in federal or national security procurement and compliance.
This role involves designing equity and cash compensation strategies for R&D and engineering teams at Databricks. Candidates must possess deep technical domain knowledge, advanced analytics skills, and the ability to partner with executive leadership on high-stakes pay decisions.
The role involves owning full-cycle recruiting for technical GTM roles, including Solutions Architects and Forward Deployed Engineers, across the Singapore and ASEAN/Greater China region. Candidates must have proven experience in software, data, or AI recruiting and demonstrate the ability to build strategic partnerships and manage high-pressure hiring goals.
This role is a Go-to-Market Leader for APAC Retail & Consumer Goods at Databricks, responsible for architecting a new category strategy and building a partner ecosystem. The position requires extensive experience constructing vertical go-to-market programs, engaging with C-level executives, and leading large-scale transformation initiatives in the data and AI landscape.
The role is a Lakebase Sales Specialist Account Executive responsible for driving revenue and adoption of Databricks Lakebase in partnership with regional Account Executives. Candidates must have 7+ years of enterprise SaaS sales experience and strong skills in complex, multi-stakeholder deals.
The role requires owning the functional design and configuration of core finance processes on S/4HANA, including Record-to-Report, Source-to-Pay, and Order-to-Cash. Candidates must have 6+ years of SAP functional consulting experience and expertise in process intelligence and AI-driven automation.
The SAP Functional SME role owns the functional design and configuration of core finance processes on S/4HANA, including Record-to-Report, Source-to-Pay, and Order-to-Cash. The position requires 6+ years of SAP consulting experience, expertise in process intelligence, and the ability to integrate AI and agentic automation into controlled, auditable workflows.
The SAP Technical Lead owns the technical architecture and delivery of Databricks' S/4HANA platform, focusing on clean-core principles and AI integration. The role requires 10+ years of SAP experience, 3+ years as a technical lead, and expertise in SAP BTP, integration, and data engineering.
The Scale Solution Engineer advises customers on Databricks onboarding and production deployment in Tokyo. Candidates need a degree in a relevant field, 2+ years of technical experience, and knowledge of a public cloud platform and programming language.
The Scaled Engagement Manager at Databricks oversees the operational execution of the Meetings at Events program, managing meeting logistics, reporting, and enablement. The role requires 7+ years of B2B event coordination experience, strong analytical skills, and the ability to manage multiple workstreams globally.
The Senior AI Engineer - FDE role involves developing and deploying production-grade GenAI applications for customer engagements at Databricks. Candidates must have extensive hands-on data science experience, expertise in tools like HuggingFace and LangChain, and a graduate degree in a quantitative discipline.
The Senior Applied ML Engineer role focuses on using machine learning and optimization algorithms to improve Databricks infrastructure efficiency. Candidates must have a Master's degree, production ML experience, and proficiency in Python, Scala, or Java.
This role involves designing compensation solutions for Databricks' Go-To-Market organization and building AI-enabled tools to scale those processes. Candidates must possess expert-level analytical modeling skills, equity fluency, and a track record of advising senior leaders on high-stakes compensation decisions.
This role owns the AI strategy and roadmap for the Scaled Customer Enablement Agent Suite, integrating GTM activation and enablement strategy. It requires 6+ years of experience in Sales Enablement or GTM Program Management and hands-on fluency with modern AI systems like RAG pipelines and agents.
This role involves shaping data science directions for usage forecasting and product analytics while collaborating with stakeholders to make data-driven decisions. Candidates must have production data science experience, strong coding skills in Python or Scala, and proficiency in SQL and distributed systems.
The role involves providing technical leadership for AI solutions and guiding strategic customers through big data and agentic AI implementations. Candidates must have 10+ years of pre-sales experience and proficiency in Databricks, Python, and cloud platforms.
The Senior Engagement Manager serves as a trusted advisor for the Forward Deployed Engineering organization, responsible for the end-to-end go-to-market strategy of FDE and Training. The role requires independently scoping complex data and AI engagements for large customers while driving full-cycle sales and account growth.
The role involves building scalable, cloud-agnostic infrastructure and distributed systems for the Databricks platform. Candidates must have 12+ years of experience in large-scale systems and extensive leadership experience managing engineering teams.
This role leads the Materialized Views engineering team within Databricks' Lakeflow platform, focusing on ETL workloads and query acceleration. Candidates must have at least three years of engineering management experience and five years building data infrastructure systems like Apache Spark or database internals.
This role leads the development of Databricks' Learning product, focusing on self-paced and enterprise-managed learning experiences powered by AI. Candidates must have 15+ years of software engineering experience and 5+ years of engineering management, with a track record of scaling teams and building consumer-facing products.
This role leads a team of approximately 20 software engineers to build unified infrastructure for Databricks' Workspace Platform. Candidates must have 15+ years of software engineering experience and 5+ years of engineering management experience.
The role involves leading high-stakes, multi-workstream technical programs to drive customer success and scalability. Candidates must have 8-12+ years of experience and advanced technical fluency, including required Databricks certifications.
The role involves building and maintaining data pipelines, applications, and AI-powered tools for Databricks' Finance and Accounting organization. Candidates must have 7+ years of experience in finance, data engineering, or analytics, with proficiency in SQL, Python, and the Databricks platform.
The Senior Financial Analyst role involves owning bookings and cash forecasts within the Sales Finance team. Candidates require a bachelor's degree and at least three years of corporate finance or consulting experience.
The Senior Forward Deployed Engineer role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
The role involves leading customer technical projects and designing production-grade data and AI systems on the Databricks platform. Candidates must have deep experience with Apache Spark, distributed computing, and at least one cloud ecosystem.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role leads a regional team of Data & AI technical experts in India to support customer production workloads across EMEA and APJ business hours. Candidates require 12+ years in IT with 3+ years of management experience and production-scale expertise in Big Data or AI.
This role leads the UK AI Forward Deployed Engineering team at Databricks, focusing on GenAI professional services and customer transformation. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
This role leads a team of Designated Support Engineers to deliver white-glove support for enterprise customers. Candidates must have 15+ years of industry experience, 7+ years of management, and a B.S. in Computer Science.
This role leads a team of Designated Support Engineers to deliver white-glove support for enterprise customers. Candidates must have 15+ years of industry experience, 6+ years of management, and a B.S. in Computer Science.
The role involves leading a team of data scientists to shape Databricks infrastructure through data science, focusing on capacity planning, performance optimization, and reliability engineering. Candidates must have 10+ years of infrastructure data science experience and 5+ years of management experience in high-velocity companies.
The role involves leading a team of data scientists to shape Databricks infrastructure through data science, focusing on capacity planning, performance optimization, and reliability engineering. Candidates must have 10+ years of infrastructure data science experience and 5+ years of management experience in high-velocity companies.
The role involves helping customers debug and maintain stable GenAI and ML workloads on the Databricks Platform. Candidates must have 8+ years of experience in production ML/AI systems and expertise in distributed systems, MLOps, and LLM deployments.
The Senior Payroll Accountant executes day-to-day and month-end accounting tasks for Databricks' global payroll, including complex reconciliations and variance analysis. The role requires 6-8 years of accounting experience, with at least 4 years in payroll, and a BA/BS degree in a relevant field.
The Senior Payroll Analyst supports accurate and timely payroll processing for the Asia region, including Australia, Korea, Japan, and Singapore. The role requires 5-7 years of regional payroll experience, regulatory knowledge, and proficiency with Workday Payroll or similar HRIS systems.
This role leads the creation of a partner product-specialist function in EMEA to deepen System Integrator expertise in Databricks priority products. Candidates must have extensive Databricks experience, strong go-to-market instincts, and the ability to build partner capability at scale.
The Senior Production Engineer role focuses on building monitoring and incident mitigation tooling for Databricks' realtime products. Candidates must have 5+ years of experience in production or site reliability engineering and strong programming skills.
The role involves building SAP BTP extensions, full-stack applications, and integrations with the Databricks platform to automate finance workflows. Candidates must have 6+ years of SAP development experience and strong skills in ABAP, SAP Fiori, and AI integration.
The Senior Scale Solution Engineer role involves independently owning customer engagements across the lifecycle and serving as a technical expert on the Databricks platform. Candidates must have 4+ years of technical experience, a degree in a relevant field, and deep knowledge of at least one major cloud platform.
The role involves advising customers across their lifecycle on the Databricks Data + AI Platform and building AI-augmented workflows. Candidates need 4+ years of technical experience, deep cloud platform knowledge, and strong Korean and English communication skills.
The role involves designing and optimizing application frameworks and low-level system components at Databricks. Candidates must have 7+ years of experience with deep expertise in JVM internals, memory management, and distributed systems.
The role involves designing and optimizing application frameworks and low-level system infrastructure for the Databricks platform. Candidates must have 7+ years of experience with deep expertise in JVM internals, memory management, and distributed systems.
The role involves building and scaling backend infrastructure for the Databricks platform, focusing on cloud-agnostic abstractions and developer tooling. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The role involves building infrastructure for ML and AI users to configure training and serving environments. Candidates need 5+ years of backend or infrastructure engineering experience with strong Python, Scala, or Java skills.
The role involves designing and operating the Databricks metrics store and cross-company Data Intelligence Platform to automate decision-making. Candidates must have 6+ years of industry experience and 4+ years of technical leadership in building large-scale data pipelines and ETL frameworks.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 6+ years of production experience in languages like Python or Java and 3+ years developing large-scale distributed systems.
The Senior Software Engineer role focuses on building and governing Databricks' Money systems, including resource admission control and usage infrastructure. Candidates must have 7+ years of production experience in Java, Scala, or C++ and expertise in large-scale distributed systems.
The Senior Software Engineer on the Application Traffic team designs and builds systems for service-to-service communication across thousands of clusters in a multi-cloud environment. The role requires a BS in Computer Science, 5+ years of experience with large-scale distributed systems, and proficiency in languages such as Java, Scala, Go, or C++.
The role involves building scalable backend infrastructure and services for the Databricks platform, focusing on resource management and distributed systems. Candidates require a CS degree and 5+ years of production experience in Java, Scala, or C++ with cloud and security expertise.
The role involves building scalable backend infrastructure and services for the Databricks platform, focusing on resource management and distributed systems. Candidates require a CS degree and 5+ years of production experience in Java, Scala, or C++ with cloud and security expertise.
The role involves building and scaling backend infrastructure for the Databricks platform, including serverless systems and core cloud technologies. Candidates require a CS degree and 5+ years of production experience in distributed systems and cloud technologies.
The role involves building and maintaining backend services for Databricks' Lakehouse platform, focusing on distributed systems and data storage. Candidates must have a CS degree and 5+ years of production experience in Java, Scala, or C++.
The role involves building reliable, secure, and high-performance backend services for a data and AI infrastructure platform. Candidates must have a BS in Computer Science and 5+ years of production experience in Java, Scala, C++, or similar languages.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates need a CS degree and 3+ years of production experience in Java, Scala, or C++ with distributed systems knowledge.
The role is a Senior Software Engineer position in the Engineering - Pipeline department at Databricks' new Vancouver R&D center. Candidates require a BS in Computer Science or equivalent, 5+ years of production experience in Java, Scala, or C++, and strong skills in distributed systems and cloud technologies.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The Senior Software Engineer on the Customer Foresight Team leads the development of observability products for AI and data workloads. The role requires 6+ years of production experience in Java, Scala, Python, C++, or similar languages, along with expertise in cloud technologies and large-scale distributed systems.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates need a passion for database and distributed systems, with 5+ years of experience in related systems preferred.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates need a passion for database and distributed systems, with 5+ years of experience in related systems preferred.
The role involves designing next-generation query engines and storage systems for Databricks. Candidates must have 5+ years of experience in database or distributed systems and produce technical design documents.
The role involves building next-generation distributed data storage and processing systems for the Runtime team at Databricks. Candidates must have 5+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems on Databricks' Runtime team. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves building next-generation distributed data storage and processing systems for the Runtime team. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves driving design decisions and developing features for Databricks' data infrastructure in Belgrade. Candidates must have 5+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building full-stack data products and user experiences for Databricks' platform. Candidates must have 5+ years of experience with front-end and server-side technologies, along with knowledge of SQL and cloud infrastructure.
The role involves building full-stack data products and user experiences for Databricks' platform. Candidates must have 5+ years of experience with front-end and server-side technologies, SQL, and cloud infrastructure.
The role involves designing and maintaining full-stack web applications, including front-end components, RESTful APIs, and microservices. Candidates must have 5+ years of experience with modern JavaScript frameworks and server-side technologies, along with strong UI/UX design expertise.
The role is a Senior Software Engineer position focused on full-stack development for Databricks' data and AI infrastructure. Candidates must have a degree in Computer Science or a related field and at least five years of experience with HTML, CSS, and JavaScript.
The role is a Senior Software Engineer - Fullstack position at Databricks in Vancouver, Canada, focused on building scalable data and AI products. Candidates must have 5+ years of experience with front-end technologies like HTML, CSS, and JavaScript, as well as server-side technologies such as Node.js or Python.
The role involves building and extending Databricks' multi-cloud infrastructure platform, including Kubernetes cluster management and distributed API gateways. Candidates must have a CS degree and 5+ years of production coding experience in Java, Scala, Go, C++, or Python.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates need 5+ years of production experience in distributed systems and database internals, with a focus on low-level performance optimization.
The role involves designing and managing Money systems for billing, metering, and pricing across cloud providers. Candidates must have technical leadership experience in large-scale distributed services and data pipelines.
The Senior Software Engineer role focuses on building infrastructure for the Databricks platform at scale, specifically for multi-cloud efficiency. Candidates must have 6+ years of experience in distributed systems and cloud resource optimization.
The Senior Software Engineer role involves designing and maintaining SQL drivers and infrastructure for Databricks partner integrations. Candidates must have 5+ years of production experience in Java, Python, or Go, along with a background in open source communities.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 5+ years of experience in data security and expertise in at least two specified security domains.
The role involves designing and operating a filesystem platform for data and AI workloads while setting technical direction for content organization. Candidates require a bachelor's degree and 5+ years of production experience in languages like Java or Scala, plus 3+ years in large-scale distributed systems.
The role involves building and scaling platform infrastructure, including CI/CD pipelines, deployment automation, and consent management systems for Databricks' web properties. Candidates must have 8+ years of software engineering experience and strong expertise in web platform infrastructure and production systems.
The Senior Software Engineer role focuses on building core systems for Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 5+ years in large-scale distributed systems and experience with GPU training frameworks like FSDP or DeepSpeed.
The role involves designing and building a next-generation Serverless compute platform for Databricks, focusing on high availability, low latency, and multi-cloud abstraction. Candidates must have 5+ years of production experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
The role involves designing and building high-throughput, low-latency inference systems for Databricks Model Serving across CPU and GPU workloads. Candidates must have 5+ years of experience in large-scale distributed systems and model serving infrastructure.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 8+ years of production experience in languages like Python or Java, along with 4+ years developing large-scale distributed systems.
The role involves building intuitive and scalable end-to-end dashboard experiences for data exploration and sharing. Candidates must have 5+ years of experience and expertise in modern frontend development with React, TypeScript, and HTML/CSS.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions for data engineering and AI. Candidates must have 15+ years in data engineering or pre-sales and 10+ years with Big Data technologies like Apache Spark.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions to achieve data-driven outcomes. Candidates must have 15+ years in data engineering or pre-sales and 10+ years with Big Data technologies like Apache Spark.
This role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy. Candidates must have 8+ years of experience, expert-level coding proficiency, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy in the banking sector. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for enterprise data and AI. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks and distributed systems.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The role involves developing and driving product adoption for enterprise data warehouse migrations to the Databricks platform across EMEA. Candidates must have 8+ years of customer-facing pre-sales or architect experience and expertise in legacy EDW systems and Lakehouse architecture.
The Senior Solutions Architect (Lakebase) role involves partnering with account teams to design and deliver client-facing solutions for Databricks' Lakebase product line. Candidates must have 10+ years of transactional database (OLTP) expertise and experience architecting solutions within Big Data and AI ecosystems.
The role involves driving technical and consumption strategy for complex life science accounts at Databricks. Candidates must have 8+ years of experience in global solutions architecture and strong hands-on skills in Python, SQL, and Spark.
The role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for the Databricks platform. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture.
This role involves leading complex customer engagements and driving consumption strategy for Databricks in the Nordics region. Candidates must have 8+ years of experience in solutions architecture and expert-level proficiency in Python, SQL, and Spark.
This role is a Senior Solutions Architect position focused on driving technical strategy and executive relationships for Digital Native customers in the Nordics. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data technologies and cloud platforms.
The role involves executing Databricks' Product Operating Model for Lakebase by partnering with account teams to drive product adoption in a specific local region. Candidates must possess 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales roles, with proficiency in SQL, Python, and public cloud environments.
This role is a Senior Solutions Architect responsible for complex customer engagements, executive relationships, and technical strategy for the Databricks platform. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture.
The role involves architecting production-grade ML and AI workloads for enterprise customers on the Databricks platform. Candidates must have 10+ years of hands-on experience in Data Science or Machine Learning, with expertise in LLMs, GenAI, and MLOps.
The role involves guiding enterprise customers through the architecture, administration, and security of Databricks deployments on AWS, Azure, or GCP. Candidates must have 8+ years of experience in solutions architecture and advanced expertise in cloud security, networking, and infrastructure automation.
The role involves advising enterprise customers on Databricks architecture, administration, and security across AWS, Azure, and GCP. Candidates need 4+ years in solutions architecture or network architecture, with strong expertise in cloud networking, security, and infrastructure automation.
This role involves building a zero-to-one retrieval stack and search subagents for Databricks agents. Candidates must have 10+ years of experience in production retrieval, search, or RAG systems at scale.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
The Senior Staff Software Engineer defines the vision and architecture for Databricks' application and partner ecosystem. The role requires 10+ years of experience in data-intensive systems, database expertise, and API design, along with strong leadership skills to mentor engineers and drive cross-functional initiatives.
The role is a Senior Staff Software Engineer position in Databricks' Engineering team, focused on backend infrastructure and large-scale distributed systems. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor senior engineers and lead complex technical projects.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role involves designing and maintaining robust backend systems for Databricks workspaces, focusing on high QPS and low latency. Candidates must have 15+ years of experience building large-scale distributed systems and provide technical leadership to junior engineers.
The role is a Senior Staff Software Engineer leading the Materialized Views engineering team at Databricks. Candidates must have 15+ years of experience building large-scale distributed systems and a strong foundation in algorithms and data structures.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified areas, along with 15+ years building large-scale distributed systems.
The role is a Senior Staff Software Engineer position focused on architectural leadership for Databricks' Lakeflow Pipelines and Datasets. Candidates must have 10+ years of experience in large-scale distributed systems and deep expertise in areas such as database internals, storage, or streaming.
This role involves creating the vision and strategy for Databricks' security infrastructure to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified security domains.
This role involves creating the vision and strategy for Databricks' security infrastructure to protect customer data. Candidates must have 9+ years of experience in Data Security and expertise in at least two specified security domains.
This role involves driving the architecture and long-term technical direction of Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 15+ years of experience in large-scale distributed systems and deep expertise in GPU training, high-performance computing, or ML systems.
The role involves designing large-scale connectivity platforms for Databricks' networking infrastructure across multiple clouds. Candidates must have 15+ years of production experience in languages like Rust or Java and 10+ years building distributed systems.
The role involves owning search quality for AI agents and human users by optimizing hybrid retrieval and ranking models. Candidates must have expertise in Lucene/Elasticsearch, embeddings, and relevance metrics like nDCG and MRR.
The Senior Support Engineer (GovOps) role involves handling complex technical escalations and maintaining platform reliability across GovCloud and air-gapped environments. Candidates must possess a TS/SCI clearance, a bachelor's degree, and five years of experience in systems engineering or cloud infrastructure.
The role is a Senior Technical Solutions Engineer for the Platform Support team, requiring 7+ years of experience with Databricks and cloud data platforms. Candidates must troubleshoot complex issues, manage high-priority incidents, and collaborate with engineering and customer teams.
This role involves owning systems for defining and measuring technical capability across Databricks learner audiences. The architect will build a capability model and AI-native tooling to maintain skills taxonomies and track capability drift.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require 2+ years of professional software development experience or a PhD, along with proficiency in backend languages such as Java, Scala, or Go.
The role involves building reliable, secure, and high-performance backend services for data storage and access on cloud platforms. Candidates must have a BS in Computer Science and at least three years of production experience in Java, Scala, or C++.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates need a CS degree and two years of production experience in Java, Scala, or C++ with distributed systems knowledge.
The role involves designing next-generation query engines and storage systems for Databricks, focusing on areas like query optimization and distributed execution. Candidates must have 5+ years of experience in related systems and be comfortable working towards a multi-year vision.
The role involves developing features for Databricks' data and AI infrastructure, including the Storage and Query Engines. Candidates must have 3+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
This role is for a new graduate software engineer joining Databricks to build infrastructure and products for its data and AI platform. Candidates must graduate in fall 2026 or spring 2027 with a degree in Computer Science or a related field and possess implementation skills in languages such as Python, Java, or C++.
This role is a new graduate Software Engineer position focused on distributed data systems, query optimization, and storage structures. Candidates must graduate in Fall 2026 or Spring 2027 with a degree in Computer Science or Engineering and possess implementation skills in Java or C++.
The role involves building resilient, scalable, and automated infrastructure for Databricks' IT CorpEng team. Candidates must have 3-5 years of software engineering experience with strong Python proficiency and expertise in AWS, Kubernetes, and Infrastructure as Code.
This role involves building resilient, scalable, and automated infrastructure for Databricks' IT CorpEng team. Candidates must have strong software engineering skills, proficiency in Python, and experience with cloud platforms, Kubernetes, and Infrastructure as Code.
The role involves building and shipping production-quality web experiences for Databricks public-facing properties on an AI native platform. Candidates must have 4+ years of software engineering experience with strong fundamentals in the web stack and experience with content management systems.
The role involves building and shipping production-quality web experiences for Databricks public-facing properties on an AI native platform. Candidates must have 4+ years of software engineering experience with strong fundamentals in the web stack and experience with content management systems.
This role is a Software Engineering Internship at Databricks in Aarhus, Denmark, where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related field.
This role is a 12-week Summer internship at Databricks in Amsterdam where candidates build features for the platform. Candidates must graduate between fall 2027 and Summer 2028 with a degree in Computer Science or a related subject.
This role is a Software Engineering Internship at Databricks in Belgrade, Serbia, where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related field.
This role is a 12-week Summer internship at Databricks in Berlin where candidates build features for the company's data and AI platform. Candidates must graduate between fall 2027 and summer 2028 with a degree in Computer Science or a related subject.
This role is a 12-week Summer internship at Databricks in London, where interns build features for the platform under a dedicated mentor. Candidates must graduate between Autumn 2027 and Summer 2028 with a degree in Computer Science, Engineering, or a related subject.
This role is a Software Engineering Intern position at Databricks where candidates join a team to build features for the platform. Candidates must graduate in fall 2027 or spring 2028 with a degree in Computer Science, Engineering, or a related subject.
The role involves partnering with customers to design scalable data architectures using Databricks technology and driving complex technology discussions. Candidates must have 5+ years of experience in pre-sales or technical architecture and expertise in big data engineering, data warehousing, or data science.
The Solutions Architect role requires an experienced pre-sales professional to define technical strategy for large enterprise accounts in São Paulo. Candidates must have a strong background in value selling, technical account management, and technical leadership to drive ML and AI adoption.
The Solutions Architect role requires an experienced pre-sales professional to define technical strategy for large enterprise accounts in Mexico City. Candidates must have a strong background in value selling, technical account management, and technical leadership to drive ML and AI adoption.
The role involves acting as a trusted technical advisor to Databricks customers in Queensland, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and the ability to deliver complex solution architecture designs.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical account management, and production programming in Python, R, Scala, or Java.
This role involves acting as a trusted technical advisor to Databricks customers in Seoul, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and native-level Korean.
The role involves acting as a trusted technical advisor to customers in Munich, developing customized solutions and reference architectures for the Databricks Data Intelligence Platform. Candidates must have prior coding experience in a core language, proficiency in big data analytics, and the ability to deliver complex solution architecture designs.
The Solutions Architect role involves leading technical strategy for customers and owning architecture discussions to drive Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong proficiency in Python and SQL.
The role involves acting as a trusted technical advisor to customers in Melbourne, demonstrating how the Databricks platform solves complex data challenges. Candidates must have prior coding experience in a core language and proficiency with big data analytics technologies to design and deliver solution architectures.
The Solutions Architect role involves advising strategic accounts on data and AI strategies using the Databricks platform. Candidates must have 12+ years of experience in data engineering or architecture and 8+ years with Big Data technologies.
The role involves acting as a trusted technical advisor to customers in the Adelaide territory, demonstrating how the Databricks platform solves complex data challenges. Candidates must have prior coding experience in a core language and proficiency with big data analytics technologies to design and deliver solution architectures.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks and ML & AI solutions. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The Solutions Architect role involves leading technical strategy and owning architecture discussions for customers. Candidates must have 6+ years of experience, strong Python and SQL skills, and deep expertise in distributed data systems.
The role involves defining technical strategy for large enterprise accounts to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves leading technical strategy for customers by owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong proficiency in Python and SQL.
The Solutions Architect (Genie) role involves partnering with Account Executives to drive product adoption and technical strategy for Databricks' Genie product line. Candidates must have 6+ years in pre-sales or consulting, with expertise in SQL, Python, and public cloud environments.
The Solutions Architect (Lakebase) role involves partnering with Account Executives to design and deliver technical strategies for Databricks' Lakebase product line. Candidates must possess 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves leading technical strategy for customers in the Media, Entertainment, and Agencies sector, focusing on Databricks platform adoption and architecture. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
The role involves acting as a trusted technical advisor to Databricks customers in Portugal, developing custom solutions and reference architectures for the Data Intelligence Platform. Candidates must have native Portuguese, business English, prior coding experience, and proficiency in big data analytics technologies.
This role involves leading technical strategy and architecture discussions for Benelux strategic accounts, focusing on Databricks platform adoption and data/AI solutions. Candidates must have 6+ years of experience in solutions architecture or pre-sales, with strong Python and SQL skills and expertise in distributed data systems.
The role involves developing technical strategies and executing pre-sales engagements for automotive and manufacturing customers in Japan. Candidates must design Databricks and cloud solutions, lead proof-of-concepts, and possess business-professional Japanese and business-level English.
The Solutions Architect role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment & Gaming sector, owning architecture discussions and driving platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills and expertise in distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves leading technical strategy for customers in the communications, media, entertainment, and games sectors, focusing on data and AI solutions. Candidates must have six or more years of experience in solutions architecture or a senior technical role, with strong proficiency in Python and SQL.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
The role involves leading technical strategy for customers in the Communications, Media, Entertainment, and Games sector, focusing on data and AI architecture. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 4+ years in customer-facing pre-sales or technical architecture roles and experience designing distributed data systems.
This role leads technical strategy for CPG customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves shaping the Data & AI landscape by advising sales teams and customers on Databricks Lakehouse Platform solutions. Candidates must have 8+ years in data engineering, data science, or technical architecture, with strong Big Data and coding experience.
The role involves owning end-to-end technical strategy for CPG and Manufacturing customers, driving platform adoption, and leading architecture discussions for data and AI solutions. Candidates require 6+ years of experience in solutions architecture or related fields, deep expertise in modern data and AI architectures, and proficiency on the Databricks Platform.
The role involves developing data architectures and solutions for customers using Databricks platform and APIs. Candidates must have 5+ years in data engineering or pre-sales, with experience in Python, SQL, and public cloud providers.
The Solutions Architect role leads technical strategy for Fintech customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience, strong Python and SQL skills, and expertise in distributed data systems and cloud deployments.
The Solutions Architect role leads technical strategy for Healthtech customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves developing data architectures and solutions for Databricks customers using the company's platform and APIs. Candidates must have 5+ years of experience in data engineering or architecture and proficiency in Python and SQL.
The role involves leading technical strategy for named accounts and owning end-to-end architecture discussions for data and AI solutions. Candidates must have 6+ years of experience in solutions architecture or related technical roles, with strong proficiency in Python, SQL, and distributed data systems.
This role involves acting as a trusted technical advisor to Digital Natives and Startups, demonstrating how the Databricks platform solves complex data challenges. Candidates must have at least seven years of pre-sales or solution consulting experience and proficiency in coding, big data analytics, and public cloud platforms.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 3+ years in customer-facing pre-sales or technical architecture roles and experience designing distributed data systems.
This role involves leading the adoption of the Databricks Unified Analytics Platform by developing architectures and guiding customers through implementations. Candidates must have 5+ years in customer-facing pre-sales or technical architecture and experience designing distributed data systems.
The role is a pre-sales Solutions Architect for Databricks in Toronto, focused on defining technical strategy for large financial services and insurance accounts. Candidates must have 5+ years of customer-facing presales experience in the FSI domain and proficiency in big data, data science, and cloud technologies.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 7+ years of experience in pre-sales or technical architecture and proficiency in Python, Scala, Java, SQL, or R.
The Solutions Architect role leads technical strategy for financial services customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience, strong Python and SQL coding skills, and deep expertise in distributed data systems and cloud-native platforms.
This role involves leading the growth of the Databricks Data Intelligence Platform by developing customer-facing architectures and solutions. Candidates must have 7+ years in pre-sales or consulting, with expertise in cloud platforms, data engineering, and open-source projects like Apache Spark.
The role involves defining technical strategy for large enterprise accounts in the Financial Services and Insurance sectors to drive adoption of Databricks and ML & AI solutions. Candidates must have 7+ years of experience in data and AI, technical expertise in big data and cloud, and production programming skills in Python, R, Scala, or Java.
This role leads technical strategy for customers, owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role leads technical strategy for customers, owning architecture discussions and driving platform adoption on the Databricks platform. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves defining technical strategy for large healthcare and life sciences accounts to drive Databricks adoption. Candidates must have experience in pre-sales, value selling, and technical leadership with a background in big data, data science, and cloud technologies.
This role involves defining technical strategy for large healthcare and life sciences accounts to drive Databricks adoption. Candidates must have experience in pre-sales, value selling, and technical leadership with a background in big data, data science, and cloud technologies.
The Solutions Architect (Lakebase) role involves partnering with Account Executives to drive product adoption and technical strategy for Databricks' Lakebase line. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves partnering with account teams to position the Lakebase product line and drive client adoption in a specific region. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
The role involves defining technical strategy for large enterprise accounts in the High Tech and Manufacturing sectors to drive adoption of Databricks' ML and AI products. Candidates must have experience in value selling, technical account management, and production programming in Python, R, Scala, or Java.
The Solutions Architect role defines technical strategy for large enterprise accounts to drive adoption of Databricks products and ML & AI. Candidates must have experience in data engineering, cloud data warehousing, or data science, along with production programming expertise in Python, R, Scala, or Java.
This role involves partnering with customers to design scalable data architectures using Databricks technology and driving complex technology discussions. Candidates must have 7+ years of experience in pre-sales or technical architecture and expertise in big data, data warehousing, or machine learning.
The role involves shaping the Data & AI landscape by advising sales teams and customers on Databricks Lakehouse Platform solutions. Candidates must have 8+ years in data engineering, data science, or technical architecture, with strong Big Data and coding experience.
The role involves leading technical strategy for public sector customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 7+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have six or more years of experience in pre-sales, technical architecture, or consulting, along with expertise in distributed data systems and public cloud providers.
This role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role leads technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
This role involves defining technical strategy for large retail and CPG accounts to drive Databricks adoption and ML/AI implementation. Candidates must have 5+ years in large enterprise pre-sales and 3+ years with big data technologies like Hadoop and NoSQL.
The Strategic Solutions Architect role involves developing data architectures and guiding AI-native customers on Databricks platforms. Candidates must have 5+ years in data engineering or pre-sales, with proficiency in Python, SQL, and public cloud providers.
The Solutions Architect role leads technical strategy for customers, owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for Databricks customers in Italy's Digital Natives and Scaleups segment, focusing on architecture discussions and platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
The role involves leading technical strategy for Greenfield customers and owning architecture discussions for data and AI solutions. Candidates must have 6+ years of experience, strong Python and SQL skills, and deep expertise in distributed data systems.
The role involves leading technical strategy for customers by owning architecture discussions and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL coding skills.
The role involves leading technical strategy for customers in the Madrid region, owning architecture discussions, and driving Databricks platform adoption. Candidates must have 6+ years of experience in solutions architecture or data engineering, with strong Python and SQL skills.
This role involves engaging technical leaders at startups to design data and AI architectures and lead the technical sales motion. Candidates must have five years of customer-facing experience and hands-on programming skills in Python, SQL, Scala, or Java.
The Solutions Architect role leads technical strategy for public sector healthcare customers, owning architecture discussions and driving Databricks platform adoption. Candidates require 6+ years of experience, strong Python and SQL coding skills, and expertise in distributed data systems and cloud-native platforms.
The Solutions Engineer role involves building working prototypes and demos to help customers tackle data challenges on the Databricks platform. Candidates must have at least one year of customer-facing technical experience and a bachelor's degree in a relevant field.
The Solutions Engineer role involves building working prototypes and advising customer teams on Databricks platform adoption in New York City. Candidates must have 2+ years of customer-facing solutions engineering experience and a bachelor's degree in a relevant technical field.
The Solutions Engineer role involves building working prototypes and advising customer teams on Databricks platform adoption in Chicago. Candidates must have 2+ years of customer-facing solutions engineering experience and a bachelor's degree in a relevant technical field.
The role involves guiding customers in cloud data warehousing transformation using Databricks, requiring hands-on production experience with large-scale data warehousing and lakehouse architecture. Candidates must have 5+ years of technical experience in data warehousing, SQL, and Python, along with 2 years of customer-facing experience.
The role involves guiding customers in building big data solutions on Databricks with a focus on security and cloud infrastructure. Candidates must have hands-on production experience with cloud technologies and big data systems, along with pre-sales or post-sales client experience.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role leads advanced AI/ML technical strategy for customers, owning complex architecture discussions and driving platform adoption. Candidates must have 6+ years of experience in solutions architecture or senior technical roles, with strong Python, SQL, and cloud infrastructure skills.
This role serves as a technical advisor guiding enterprise customers through Databricks architecture and AI deployment on AWS. Candidates must have six years of experience in solutions architecture and strong expertise in cloud infrastructure, security, and automation.
This role serves as a technical advisor guiding enterprise customers through Databricks architecture and AI deployment on Microsoft Azure. Candidates must have six or more years of experience in solutions architecture and strong expertise in Azure infrastructure, networking, and identity management.
This role involves designing and optimizing production-grade data workloads on the Databricks platform using Apache Spark and streaming frameworks. Candidates must have 5+ years of data engineering experience and proficiency in Python, SQL, and Scala or Java.
The role leads advanced technical strategy for data engineering and warehousing customers, owning architecture discussions and platform adoption. Candidates require 6+ years of experience in solutions architecture, deep expertise in Apache Spark and data warehousing, and strong Python and SQL skills.
This role guides customers in building secure big data solutions on Databricks, requiring hands-on experience in security reviews and cloud infrastructure. Candidates must have 5+ years in pre-sales or post-sales and 3+ years designing cloud infrastructure with security best practices.
This role involves partnering with Field and Engineering teams to provide specialized technical support and tailored solutions for Databricks' largest customers. The position requires leveraging expertise in Apache Spark and data technologies to resolve complex product issues and unblock critical technical challenges.
The role is a senior platform monitoring engineer responsible for leading incident investigations and designing observability solutions. Candidates must have at least six years of experience in SRE or DevOps roles and proficiency in cloud providers and monitoring tools.
This role leads strategy and delivery for a new People Pod, building agentic workflows to unify the employee experience. Candidates need 5+ years of product management experience, HR domain expertise, and technical fluency in AI and data platforms.
This role involves designing and operating secure cloud infrastructure, IAM, and automation across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 5+ years of production engineering experience and an active TS/SCI security clearance.
The role involves designing and deploying scalable AI agents and full-stack applications using LLMs, React, and Python. Candidates must have 5+ years of full-stack experience and proven deployment of production AI agents.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates require a CS degree and 6+ years of production experience in distributed systems and backend languages.
The role involves designing and scaling distributed backend systems for Databricks' public sector data platform in sovereign and air-gapped cloud environments. Candidates must have 6+ years of software development experience and strong production-level proficiency in Java, Scala, Go, or C++.
The role involves building robust, scalable front-end products for data pipelines and user experiences at Databricks. Candidates must have 5+ years of experience with HTML, CSS, and JavaScript, along with modern frameworks like React.
This role involves architecting and automating production-grade infrastructure on AWS using Terraform or Pulumi. The engineer will manage Kubernetes workloads, build CI/CD pipelines, and mentor junior team members.
The role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have extensive full-stack development experience and a strong understanding of distributed systems and multi-cloud environments.
The role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have extensive backend development experience, familiarity with distributed systems, and hands-on experience with LLM orchestration or agentic automation.
The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers. Candidates must have 5+ years of production-level experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers. Candidates must have 5+ years of production-level experience in languages like Python or Java and 4+ years developing large-scale distributed systems.
This role involves designing and operating secure cloud infrastructure, IAM, and automation across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 12+ years of experience, a TS/SCI clearance, and expertise in Infrastructure-as-Code and security compliance.
The role is a Senior Staff Software Engineer (Backend) in Bengaluru, India, focused on building and maintaining large-scale distributed systems for Databricks' data and AI platform. Candidates must have 15+ years of experience, strong algorithmic foundations, and the ability to mentor engineers and lead complex technical projects.
This role serves as the chief architect of Databricks' internal operational ecosystem, leading the creation of a formal Operational Association. The position requires a strategic thinker with at least nine years of experience in management consulting, product strategy, or operations to design frameworks aligning engineering, product, and GTM.
This role serves as the chief architect of Databricks' internal operational ecosystem, leading the creation of a formal Operational Association. The position requires a strategic thinker with at least nine years of experience in management consulting, product strategy, or operations to design frameworks aligning engineering, product, and GTM.
The role is a Senior Staff Technical Program Manager responsible for leading a company-wide portfolio of security programs across Trust & Safety, Identity, and Platform Security. Candidates must have 10+ years of technical program management experience and a Bachelor's degree in Computer Science or equivalent technical experience.
The role is a Senior Staff Technical Program Manager responsible for leading a company-wide portfolio of security programs across Trust & Safety, Identity, and Platform Security. Candidates must have 10+ years of technical program management experience and the ability to align executive-level organizations on security strategy.
The role involves ensuring platform reliability and unblocking secure engineering pipelines for Databricks' multi-cloud data enclaves in air-gapped environments. Candidates must have a Top Secret clearance, 5+ years of experience in systems or cloud engineering, and proficiency in Python, Go, Bash, or Java.
The Sr Video Producer role manages video production projects from ideation to delivery for Databricks' Media Productions team. Candidates require 8+ years of web-based video experience and proficiency with Adobe Creative Cloud.
This role involves owning a portfolio of AI agent workflows to automate Sales Operations processes and drive systems improvement. Candidates must have 5-8 years of experience in operations or business process automation and strong systems fluency.
The Sr. Alliance Director leads the Global GCP Cloud Alliance team to design and scale a Go-To-Market strategy for Databricks on GCP. The role requires 15+ years of experience in business development, enterprise sales, or go-to-market strategy, along with 5+ years of team leadership experience.
The Senior Automation Engineer role focuses on building AI-powered automation for IT asset management, including laptop provisioning and SaaS license lifecycle management. Candidates must have 5+ years of experience in automation engineering and hands-on experience with LLM tools and IT platform integrations.
The Senior Collections Analyst owns a high-volume accounts receivable portfolio in a usage-based SaaS business, driving timely collections and reducing delinquency. The role requires 10+ years of collections experience, a Bachelor's degree in Finance or Accounting, and hands-on experience with NetSuite or Salesforce.
This role involves developing and managing international partner and channel programs for Databricks' go-to-market legal team. Candidates must have over 8 years of legal experience, a J.D., and strong skills in contract negotiation and compliance across multiple jurisdictions.
This role involves leading complex commercial transactions and negotiations for Databricks' Healthcare and Life Sciences sales teams. Candidates must have 7+ years of technology transactions experience and strong knowledge of HIPAA, data privacy, and security requirements.
The Senior Counsel, Employment provides legal advice to Databricks on HR AI adoption, compensation, benefits, pay equity, global mobility, and M&A. The role requires a JD, state bar membership, and 10+ years of relevant employment-law experience with strong project-management skills.
The Senior Counsel, Privacy Compliance role involves owning and maturing Databricks' privacy program while providing legal advice on global privacy and AI laws. Candidates must have 7+ years of legal experience, 5+ years focused on privacy, and demonstrated experience building or leading a privacy compliance program.
The Senior Product Counsel provides legal advice to engineering and product management teams on data privacy, protection, and AI regulations. The role requires 8+ years of legal experience, with at least 2 years focused on product, privacy, or IP law, and state bar membership.
The Senior Product Counsel provides legal advice to engineering and product management teams on data privacy, protection, and AI regulations. The role requires 8+ years of legal experience, with at least 2 years focused on product, privacy, or IP law, and state bar membership.
The Senior Counsel, Regulatory role leads Databricks' response to global regulatory frameworks outside privacy and export controls. Candidates must have at least 8 years of legal experience, a J.D., and expertise in technology or regulatory matters.
The role involves partnering with Sales and Engineering to design and scale complex data and AI solutions for high-value customers. Candidates must have 8+ years of experience in solutions architecture and demonstrate strong technical leadership and stakeholder management skills.
The Sr. Delivery Solutions Architect role involves leading post-sale technical strategy and execution for complex Databricks customers. Candidates must have 8+ years of experience in Data and AI project delivery, along with programming skills in Python, SQL, or Scala.
The Sr. Delivery Solutions Architect partners with Sales and Field Engineering to design and scale complex data and AI solutions for high-value customers. The role requires 8+ years of experience in solutions architecture, strong coding proficiency, and the ability to lead technical strategy across multiple business units.
The role involves leading post-sale technical strategy and execution for Databricks in the Greater China region, focusing on customer success and platform adoption. Candidates must have 8+ years of experience in data and AI delivery, proficiency in Mandarin, and strong technical and commercial skills.
The role is a Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role involves acting as a product manager for customer problems, bridging business needs with technical solutions from discovery to production launch. Candidates must possess executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have executive presence, product judgment, technical fluency in data and AI architectures, and hands-on coding skills.
The role is a Sr. Deployment Strategist for the FDE team, acting as a product manager to bridge customer business problems with Databricks technical solutions. Candidates must have 7+ years of experience in data, AI, or software engagements and strong executive presence.
The role involves managing strategic customer accounts and resolving complex Apache Spark and Data Engineering issues. Candidates must have at least three years of experience in data engineering and Python, Java, or Scala development.
The role involves managing strategic customer accounts and resolving complex Apache Spark and Data Engineering issues. Candidates must have at least three years of experience in data engineering and Python/Java/Scala, with deep knowledge of Spark internals.
The role involves maintaining Neon's TypeScript SDK, CLI, and MCP server while creating technical content and engaging with the developer community. Candidates must have 5+ years of experience in developer advocacy or software engineering and strong communication skills.
This role involves representing Databricks in the Bay Area AI community by creating production-ready reference implementations and educational content for agentic systems. Candidates must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python skills and knowledge of the Databricks AI ecosystem.
This role involves representing Databricks in the Bay Area AI community by creating production-ready reference implementations and educational content for agentic systems. Candidates must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python skills and knowledge of the Databricks AI ecosystem.
This role involves building the open source community for Omnigent, an AI agent meta-harness, by creating templates, demos, and educational content. The candidate must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python and TypeScript skills.
This role involves building the open source community for Omnigent, an AI agent meta-harness, by creating templates, demos, and educational content. The candidate must have 5+ years of experience in developer advocacy and hands-on technical roles, with strong Python and TypeScript skills.
The Engagement Manager helps customers adopt the Databricks platform by defining and orchestrating professional services and training engagements. The role requires strong customer-facing skills, leadership experience, and the ability to manage delivery, scope, and KPIs.
The Sr. Engagement Manager, FDE role involves helping customers accelerate value through Databricks platform adoption and selling Forward Deployed Engineering programs. The position requires strategic cross-functional partnership, commercial model development, and full accountability for meeting FDE and Training KPIs.
This role leads and scales the Forward Deployed Engineering motion across a Business Unit or region at Databricks. Candidates must have hands-on data and AI experience, deep architecture knowledge, and strong commercial skills to act as a trusted advisor to executives.
The Senior Engagement Manager leads large, complex cross-functional programs for Latin American accounts within the Forward Deployed Engineering organization. The role requires 7-10 years of Professional Services experience and strong knowledge of Databricks architecture and partner funding programs.
The Sr. Engagement Manager delivers measurable impact for Public Sector customers by scoping complex, multi-quarter initiatives with high autonomy. The role requires 10+ years of leadership experience in Professional Services, expertise in Databricks architecture, and the ability to mentor junior managers.
This role leads the Agentic Service Platform team to build foundational service frameworks and runtime infrastructure for Databricks. Candidates must have 8+ years of engineering experience in distributed systems and 4+ years of engineering management experience.
This role leads the Notebook Dataplane team to build a stateful user code execution service for Databricks' Serverless products. Candidates must have 10+ years of software engineering experience and 5+ years of engineering management experience.
This role leads the Pipelines Engine team to build next-generation ETL features and agentic data engineering infrastructure for Databricks Lakeflow. Candidates must have at least three years managing engineering teams and five years building data infrastructure systems like Apache Spark.
This role supports a Senior Leader in Product & Engineering and the SVP of Corporate Development & Ventures at Databricks. Candidates must have 7+ years of executive administrative experience and strong calendaring skills.
This role supports the Chief Operating Officer by managing complex global travel, cross-functional collaboration, and strategic events. Candidates require 10+ years of experience supporting C-Suite executives in global technology organizations.
This role involves leading complex customer engagements in the Healthcare & Life Sciences sector for Databricks' Forward Deployed Engineering team. The position requires strong technical acumen, program management experience, and the ability to guide architectural decisions without hands-on coding.
This role involves leading complex customer engagements for the U.S. Government sector by providing technical leadership and managing program scope, budget, and risk. Candidates must possess strong technical acumen, communication skills, and experience managing large-scale data projects without requiring hands-on coding.
The role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 8+ years of experience with big data technologies and be comfortable writing code in Python or Scala.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 10+ years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
The role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 6+ years of experience in data engineering and platforms, with expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves working with clients on short to medium term big data engagements using the Databricks platform. Candidates must have 6+ years of experience in data engineering and platforms, with deep expertise in Apache Spark and at least one cloud ecosystem.
The role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business impact.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks Platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for financial services customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for financial services customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
This role involves building and productionizing data and AI solutions on the Databricks platform for healthcare and life sciences customers. Candidates must have six or more years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must have six or more years of experience in data engineering or software engineering, along with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves working with federal government customers to build and productionize data and AI solutions using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
The role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
This role involves building and productionizing data and AI solutions on the Databricks platform for customers. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves building and productionizing data and AI solutions for customers using the Databricks platform. Candidates must lead architecture, implement end-to-end systems, and work cross-functionally to deliver measurable business outcomes.
The role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with deep expertise in Apache Spark and at least one cloud ecosystem.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with fluency in Python, Scala, and JavaScript/TypeScript.
This role involves building and productionizing data and AI solutions for federal government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering and fluency in Python, Scala, and JavaScript/TypeScript.
The Senior Forward Deployed Engineer role involves building and productionizing data and AI solutions for government customers using the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with fluency in Python, Scala, and JavaScript/TypeScript.
This role leads industry marketing for manufacturing, supply chain, and operations at Databricks, focusing on go-to-market programs and thought leadership. Candidates need 7+ years of experience in B2B technology marketing with strong data and AI understanding.
This role leads marketing strategy and go-to-market programs for venture-backed startups and developers at Databricks. Candidates must have 7+ years of experience in tech marketing, technical fluency in data and AI, and a proven record of driving pipeline and adoption.
The role involves architecting and automating production-grade infrastructure on cloud platforms using Infrastructure as Code tools. Candidates must have 5+ years of production-level experience with strong proficiency in Python and expert-level proficiency in Terraform or Pulumi.
The role involves scaling Databricks' international Public Sector compliance program by providing risk-balanced advice for EMEA and other markets. Candidates must be qualified attorneys with experience in public sector procurement and multi-jurisdictional compliance.
This role leads a team of Technical Solutions Engineers to resolve complex customer issues across Spark, AI/ML, and Lakehouse platforms. Candidates must have 10+ years of experience in large-scale Data & AI applications and strong expertise in Apache Spark and distributed systems.
This role leads the EMEA AI Forward Deployed Engineering team at Databricks, focusing on customer-facing AI/ML professional services and GenAI applications. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
This role leads the EMEA AI Forward Deployed Engineering team at Databricks, focusing on customer-facing AI/ML professional services and GenAI applications. Candidates must have extensive experience managing data science teams, deep technical expertise in ML and GenAI, and a track record of scaling organizations.
The Senior Engineering Manager leads the AI/BI Dashboard team, overseeing fullstack and backend development for Databricks' data insights platform. The role requires 10+ years of distributed systems experience and 6+ years managing multiple SaaS engineering teams.
This role leads a team of software engineers to design and scale cloud-native Search services, including Vector and Keyword Search. Candidates must have 5+ years of experience in search or AI infrastructure and strong leadership skills for managing high-performing teams.
This role leads a team of 7 to 15 engineers within the Configuration Platform organization at Databricks. The position requires 5+ years of management experience in backend or infrastructure teams and strong distributed systems expertise.
The role involves leading a team of technical pre-sales Solutions Architects for the APJ region. The position requires guiding the team to design impactful solutions and drive growth through collaboration and innovation.
The Sr. Manager, Field Engineering role leads a team of Solutions Architects for Databricks' Startups segment, focusing on enterprise software and data engineering. Candidates must have 10+ years of experience in the data space and proven leadership in technical pre-sales teams.
The role involves building and leading a team of pre-sales Solutions Architects for the Korean market to support complex sales cycles. Candidates must have experience managing pre-sales teams in Big Data, Cloud, or SaaS and possess native-level Korean.
The Sr. Manager, Field Engineering role leads a team of Solutions Architects for Databricks' Financial Services segment. Candidates must have 8+ years of data experience and proven leadership in technical pre-sales teams.
This role leads a Solutions Architect team for Intelligence Community and Department of Defense customers, focusing on enterprise software, big data, and generative AI. Candidates must have 5+ years of experience in the data space or mission-focused technology and proven leadership of technical pre-sales teams.
This Senior Manager role leads a broader team of technical customer advisors and shapes strategy for a significant Field Engineering portfolio. Candidates must have significant experience leading technical customer-facing teams and strong strategic judgment to influence cross-functional priorities.
This role involves managing a team of Solutions Architects for Databricks' Telecommunications Segment within the Field Engineering organization. Candidates must have 7+ years of experience in the Data + AI space and 3+ years leading technical pre-sales teams.
The role involves leading a team of technical pre-sales Solutions Architects and Engineers across the Qatar and Africa markets. Candidates must have experience managing Big Data, Cloud, or SaaS teams and possess strong communication skills to support complex sales cycles.
The role involves leading cross-functional programs and operations within the Finance Controllership to drive organizational transformation and efficiency. Candidates must have 8+ years of experience in accounting and project management, with expertise in SOX controls and process optimization.
This role leads usage-related controls and reconciliation processes for Databricks' revenue engine. Candidates must have 10+ years of experience in financial compliance or IT audit and expert proficiency in SQL.
This role leads usage remediation, partner reporting, and root cause analysis for Databricks' usage-based revenue engine. Candidates require a bachelor's degree, 10+ years of experience in revenue recognition, and SQL proficiency.
The role involves leading Bangalore-based Business Development teams to expand Databricks' business in India. Candidates must have 3-4 years of sales management experience, quota-carrying background, and proficiency in Salesforce and Outreach.io.
The role involves managing and growing Databricks' Seoul-based Business Development team to expand the South Korean business. Candidates must have 2-3 years of sales development management experience, quota-carrying sales background, and proficiency in Native Korean and business-level English.
This role leads the Continuous Monitoring team to build automation that measures security control posture across cloud and SaaS environments. The position requires 12+ years of experience, technical depth in Python and cloud security, and strong GRC knowledge.
This role manages partner marketing for AWS and AI partners to drive demand and pipeline. It requires 7+ years of experience in partner marketing and joint program execution.
This role involves designing AI and business intelligence experiences to make advanced analytics intuitive and trustworthy for users. Candidates must have 5+ years of product design experience, a bachelor's degree, and a portfolio showcasing end-to-end design processes.
This role involves owning the product vision, strategy, and roadmap for Databricks' Compute Platform, including Classic and Serverless compute. Candidates must have 5+ years of product management experience, a deep understanding of data platforms, and strong cross-functional collaboration skills.
This role involves owning the product vision, strategy, and roadmap for Databricks' Compute Platform, including Classic and Serverless compute. The position requires 5+ years of product management experience, deep technical understanding of data platforms, and strong collaboration with engineering and enterprise customers.
This role leads product management for the Lakeflow data engineering product at Databricks, focusing on vision, strategy, and execution. Candidates need 5+ years of product management experience in enterprise or SaaS, along with strong analytical and communication skills.
This role involves managing the Unity Catalog product at Databricks, focusing on data governance and security capabilities. Candidates must have 5+ years of enterprise B2B product management experience and a background in computer science or related engineering.
This role involves coordinating product activities for Unity Catalog, a data governance and security platform, from vision to implementation. Candidates must have 5+ years of enterprise B2B product management experience and a background in computer science or related engineering.
The role involves defining the vision for Databricks AI products, including generative AI and agents, while partnering with engineering and research teams to launch new features. Candidates need 5+ years of product management experience, a strong technical background in AI/ML, and proven success bringing products to market.
The role involves defining the vision for Databricks AI products, including generative AI and agents, while partnering with engineering and research teams to launch new features. Candidates need 5+ years of product management experience, a strong technical background in AI/ML, and proven success bringing products to market.
The Senior Product Manager will shape the vision and roadmap for Databricks Free Edition to improve data and AI learning experiences. The role requires 5+ years of product management experience, cross-functional collaboration skills, and technical proficiency to work with engineering teams.
The Senior Product Manager will shape the vision and roadmap for Databricks Free Edition to improve data and AI learning experiences. The role requires 5+ years of product management experience, cross-functional collaboration skills, and technical proficiency to work with engineering teams.
The role involves driving the vision and roadmap for Databricks Repos, a source control and workflow platform for data and AI teams. Candidates must have 5+ years of product management experience on platform products and developer-facing tools.
The role involves driving the vision and roadmap for Databricks Repos, a source control and workflow platform for data and AI teams. Candidates must have 5+ years of product management experience on platform products and developer-facing tools.
This role involves owning the product vision, strategy, and roadmap for Databricks SQL and Lakebase/Lakehouse. Candidates must have 5+ years of product management experience and strong communication skills to drive innovation and customer adoption.
This role involves owning the product vision, strategy, and roadmap for Databricks SQL and Lakebase/Lakehouse. Candidates must have 5+ years of product management experience and strong communication skills to drive innovation and customer adoption.
The role involves shaping the roadmap for Databricks' Lakeflow Jobs orchestration platform, focusing on control-flow, authoring, and observability features. Candidates must have 5+ years of experience, a bachelor's degree, and strong technical knowledge of data pipelines and orchestration tools.
The Sr. Product Marketing Manager will shape and execute go-to-market strategies for Lakewatch and the Agentic Apps portfolio to drive pipeline and revenue growth. The role requires extensive product marketing experience in enterprise security software and a proven ability to build and scale GTM for new or early-stage products.
This role involves leading PR programs for Databricks, focusing on product launches, corporate news, and executive communications. Candidates need 8+ years of enterprise communications experience, fluency with AI tools, and strong media relationships.
The role involves driving recruitment for Field Engineering and Forward Deployed Engineering teams across the EMEA region. Candidates must have significant experience in in-house SaaS recruiting, particularly within the Data and AI space, and must be able to build talent pipelines and partner with leadership.
This is a 12-month contract role for a Senior Recruiter to manage full-cycle hiring for technical GTM and Field Engineering talent in India. The position requires proven experience in software, data, or AI recruiting, with a focus on scaling teams in a high-growth environment.
The Sr. Sales Compensation Analyst manages commissions administration for a large payee portfolio, including plan rollout, calculation, and payroll. The role requires 5+ years of sales compensation experience, advanced Xactly and Excel skills, and SOX compliance knowledge.
The Senior Security Engineer role focuses on implementing and automating security controls across Databricks' enterprise environment. Candidates must have 7+ years of experience and strong programming skills in Python or Go to build and maintain security infrastructure.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates must have 5+ years of experience, a CS degree, and proficiency in backend languages like Java, Scala, or Go.
The role involves building distributed infrastructure to ingest high-volume, petabyte-scale data from diverse sources into Delta Lake. Candidates must have 5+ years of production experience in Java, Scala, Go, C++, or Python, along with expertise in distributed systems and streaming.
The role involves developing observability solutions to monitor the health and performance of Databricks' large-scale infrastructure. Candidates must have 7+ years of production experience in Python, Java, Scala, or C++ and familiarity with distributed systems and metrics collection.
The role involves building the next generation of Databricks' cloud storage I/O platform to support fast and reliable reads and writes. Candidates require a BS in Computer Science or related field and 5+ years of production experience in Java, Scala, or C++.
The role involves building infrastructure for AI platform components such as MLflow and AI Gateway within Databricks' AI Platform team. Candidates must have 5+ years of backend or infrastructure engineering experience and strong programming skills in Scala, Go, or Python.
The Senior Solutions Architect role involves advising sales teams and customers on Databricks Lakehouse Platform solutions to achieve data-driven outcomes. Candidates must have 8+ years of experience in data engineering, data science, or technical architecture, along with strong Big Data and coding skills.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves acting as a trusted technical advisor to Databricks customers in Italy, developing customized solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in Python, Java, or Scala, proficiency in big data analytics, and business proficiency in both Italian and English.
The Sr. Solutions Architect role involves leading complex customer engagements and driving consumption strategy for enterprise data and AI platforms. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks or equivalent platforms.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and expertise in complex proofs-of-concept and public cloud platforms.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must have 10+ years of customer-facing technical experience and the ability to influence C-level executives.
The role involves developing customer engagement strategies and coaching junior architects to promote the Databricks Data Intelligence Platform. Candidates must influence stakeholders and provide technical solutions for complex data analytics architecture and design.
The Sr. Solutions Architect role involves leading complex customer engagements and driving consumption strategy for enterprise data and AI. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of Databricks and enterprise data architecture.
The Senior Solutions Architect role involves defining technical strategy for large enterprise accounts to drive Databricks adoption and ML/AI integration. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
The role involves providing technical leadership for Customer Lake implementations, including architectural design, data engineering, and identity resolution. Candidates must have 5+ years of CDP or MarTech experience, with 3+ years in customer-facing pre-sales or consulting roles.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is an expert-level technical leader responsible for complex customer engagements, driving consumption strategy, and owning executive relationships. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data architecture and the Databricks platform.
The role involves partnering with account teams to design and execute engagement strategies for the Lakebase product line in Tokyo. Candidates must have 10+ years of OLTP expertise and 6+ years in customer-facing pre-sales or consulting roles.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex strategic customer engagements and executive relationships within the Digital Native Business. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep expertise in enterprise data architecture and the Databricks platform.
The Sr. Solutions Architect role supports strategic Digital Natives Business customers by developing data and AI architectures using Databricks platforms. Candidates must have 7+ years of experience in data engineering or pre-sales, with proficiency in Python, SQL, and public cloud providers.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform strategy. Candidates must have 8+ years of experience, expert-level coding skills, and deep knowledge of enterprise data architecture and Databricks.
The role involves defining technical strategy for large Oil, Gas, and Energy accounts to drive Databricks adoption and ML & AI use. Candidates must have experience in value selling, technical leadership, and big data, with production programming skills in Python, R, Scala, or Java.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 8+ years of experience in pre-sales or technical architecture, along with expertise in distributed data systems and public cloud providers.
This role involves leading the growth of the Databricks Unified Analytics Platform by developing customer-facing architectures and solutions. Candidates must have 8+ years of experience in pre-sales or technical architecture and proficiency in Python, Scala, Java, SQL, or R.
The role involves defining technical strategy for large retail and CPG accounts to drive Databricks adoption and ML/AI implementation. Candidates must have 8+ years of experience in large enterprises and 4+ years in pre-sales, with strong technical skills in big data and cloud.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and consumption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
This role is a senior technical leader responsible for complex customer engagements, executive relationships, and platform adoption strategy. Candidates must have 8+ years of experience, expert-level coding proficiency in Python and SQL, and deep knowledge of enterprise data architecture and the Databricks platform.
The role involves acting as a trusted technical advisor to Databricks customers in France, developing custom solutions and reference architectures for the Data Intelligence Platform. Candidates must have prior coding experience in Python, Java, or Scala, proficiency in big data analytics, and business proficiency in both French and English.
The role involves providing technical leadership for Customer Lake implementations, including architectural design, data engineering, and identity resolution. Candidates must have 5+ years in pre-sales or consulting and 2+ years implementing CDP and Lakehouse architectures.
The role involves acting as a Big Data Analytics advisor to clients, creating customized solutions and reference architectures using the Databricks platform. Candidates must have experience in solution architecture, data engineering, and coding in a core language like Python.
The Sr. Solutions Engineer role involves independently leading technical engagements, including discovery, solution design, and platform demonstrations for Databricks customers. Candidates must have 4+ years of experience in data engineering or solutions architecture, with proficiency in Python, SQL, and public cloud platforms.
The Sr. Solutions Engineer role involves independently leading technical engagements, solution design, and platform demonstrations for customers in the Greater China region. Candidates must have 4+ years of experience in data engineering or solutions architecture, proficiency in Python and SQL, and business proficiency in Mandarin.
The Sr. Solutions Engineer independently leads technical engagements, owning discovery, solution design, and platform demonstrations for Digital Native customers. The role requires 4+ years of experience in data engineering or solutions architecture, proficiency in Python and SQL, and hands-on experience with public cloud platforms.
The role involves architecting production-grade ML and AI applications on Databricks for customers and the Field Engineering organization. Candidates must have 5+ years of hands-on industry ML experience and a graduate degree in a quantitative discipline.
The role involves defining AI product go-to-market strategy and driving adoption in the Asia Pacific and Japan region. Candidates must have 6+ years in Data Science/ML, 2+ years in production Gen AI, and expertise in cloud environments and LLM architectures.
This role involves guiding customers in building big data solutions on Databricks with a focus on platform security and cloud infrastructure. Candidates must have hands-on production experience with cloud infrastructure, big data technologies, and security architecture.
The role involves architecting production-grade ML and AI workloads for enterprise customers on the Databricks platform. Candidates must have 7+ years of hands-on industry ML experience and fluency in Hebrew and English.
The role involves embedding with strategic customers to design and deliver custom fullstack applications on the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The Senior Staff Fullstack Engineer role involves defining the technical roadmap and designing end-to-end, AI-powered applications for Databricks' Agentic Applications team. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role leads global customer enablement partnerships at Databricks, owning strategy, operating models, and commercialization for partner products. Candidates require 10+ years of global partner management experience and P&L ownership in enterprise software or cloud.
This role involves defining the architecture and technical standards for Databricks' shared Security AI platform. Candidates must have 10+ years of experience in software engineering or security platform architecture, with fluency in Python and cloud-native systems.
The role involves designing and implementing scalable systems for Databricks' Managed Tables offering, including Predictive Optimization and Liquid Clustering. Candidates must have 15+ years of experience in large-scale distributed systems and strong foundations in algorithms and data structures.
This role involves designing and managing billing systems and services for Databricks products across AWS, GCP, and Azure. Candidates must have 9+ years of experience building large-scale distributed services and data pipelines.
The role involves leading the technical direction and development of Unity Catalog's enterprise-grade governance capabilities. Candidates must have 15+ years of experience building large-scale distributed systems and deep computer science expertise.
This role is a senior technical leader position at Databricks responsible for driving strategy and architecture across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. Candidates must have 12+ years of experience building large-scale distributed systems and a proven track record as a technical leader in complex environments.
This role is a senior technical leader position at Databricks responsible for driving strategy and architecture across Query Observability, SQL Warehouse Management, and Account-Level Observability and Governance. Candidates must have 12+ years of experience building large-scale distributed systems and a proven track record as a technical leader in complex environments.
The role involves owning the AI-native web platform layer, including frameworks, design systems, and CI/CD pipelines, while defining the technical roadmap. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role leads strategy and execution for critical Reliability initiatives across Databricks infrastructure and product engineering teams. Candidates must have 10+ years managing large-scale technical programs in cloud infrastructure or distributed systems, with experience across multiple hyperscale cloud providers.
This role leads strategy and execution for critical Reliability initiatives across Databricks infrastructure and product engineering teams. Candidates must have 10+ years managing large-scale technical programs in cloud infrastructure or distributed systems, with experience across multiple hyperscale cloud providers.
The role is a Sr. Staff Technical Program Manager (L7) leading an internal incubator to build Databricks' first-party agentic application platform. Candidates must have 10+ years of technical program management experience, deep architectural fluency, and proven people management of lean TPM teams.
The Sr. Strategy & Operations Program Lead will establish and scale the operating model for the Accenture Databricks Business Group, including governance and portfolio management. The role requires 15+ years of experience in program management and cross-functional leadership to build scalable execution frameworks.
This role involves leading customer technical projects to build and productionize data and AI solutions on the Databricks platform. Candidates must have 6+ years of experience in data engineering or software engineering, with expertise in Apache Spark and at least one cloud ecosystem.
The role involves providing technical support for Databricks Platform issues and assisting customers with their analytics journey. Candidates must have 4+ years of experience with Python, Java, or Scala applications, along with strong SQL and Linux/Unix skills.
The role involves designing large-scale connectivity platforms for Databricks' networking infrastructure, focusing on multi-cloud distributed systems. Candidates must have 15+ years of production experience in languages like Rust or Java and 10+ years developing distributed systems.
The role involves building the control plane for Databricks' Unity AI Gateway, which routes AI requests and enforces budgets. Candidates must have 8+ years of backend or infrastructure experience and strong skills in Scala or Go.
The role involves building infrastructure for AI infrastructure components such as MLflow and AI Gateway within the AI Platform team. Candidates must have 5+ years of backend or infrastructure engineering experience and strong programming skills in Scala, Go, or Python.
This role serves as a senior escalation point for complex ML/AI issues involving model training, inference, and Databricks technologies. Candidates must possess deep troubleshooting experience with distributed systems, strong Python skills, and expertise in Apache Spark and MLflow.
This role involves shaping data science areas such as segmentation and forecasting while collaborating with engineering and product teams. Candidates need 7+ years of data science experience, strong coding skills in Python or Scala, and proficiency in SQL and Spark.
This role involves building data science tooling and generating strategic insights for Databricks' infrastructure and engineering teams. Candidates must have 7+ years of data science experience, strong Python and SQL skills, and a master's or PhD in a quantitative field.
The role involves developing machine learning models for fraud and abuse detection within Databricks' Trust and Safety team. Candidates must have 7+ years of data science experience, proficiency in SQL and Python, and a master's degree in a quantitative field.
This role involves securing enterprise applications, data flows, and AI-adjacent use cases within the Databricks platform. Candidates must have 8+ years of security engineering experience and strong technical judgment for cross-functional partnership.
This Staff Forward Deployed Engineer role partners with customers to solve big data challenges using the Databricks Platform. Candidates must have 15+ years of experience in big data technologies and 6+ years designing big data architectures.
The role involves working with customers to build and productionize data and AI solutions using the Databricks platform. Candidates must own architecture, lead design decisions, and implement end-to-end systems spanning data engineering, AI, and application development.
The role is a Senior Frontend Engineer at Databricks focused on building robust, scalable data and AI infrastructure products. Candidates must have 5+ years of experience with HTML, CSS, and JavaScript, along with modern frameworks like React.
This role involves defining the technical roadmap and designing end-to-end, AI-powered full-stack applications for Databricks' Agentic Applications team. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role involves architecting and building agentic systems to automate People Technology workflows using LLM orchestration frameworks. Candidates must have 8+ years of software engineering experience, including at least 2 years building production LLM or agentic applications.
The role involves developing and deploying state-of-the-art AI models and ML pipelines for Databricks' GenAI products. Candidates must have 2-8 years of machine learning engineering experience and proficiency in Python and PyTorch.
This role involves evaluating ML and LLM approaches for CustomerLake's personalization use cases and building the platform to optimize for business value. Candidates must have 10+ years of engineering experience, hands-on ML/LLM product experience, and proficiency in Python and PyTorch.
The role leads technical relationships with strategic AI partners like Anthropic and OpenAI, owning joint roadmaps and building integrations. Candidates need 10+ years of experience in field engineering or AI systems, with hands-on skills in Python, REST APIs, and POC development.
This role serves as the primary technical liaison between Databricks and Microsoft Azure, managing the cross-product roadmap and driving engineering integrations. Candidates must have 10+ years of experience in cloud architecture or partner engineering, with deep expertise in Azure services and hands-on skills in Python, SQL, and API integration.
This role is an IC design lead for Omnigent, focusing on desktop and mobile experiences for AI coding agents. Candidates must have staff-level scope, strong end-to-end craft, and the ability to design directly in codebases.
This role involves designing agent-driven experiences for a new product category at Databricks in New York City. Candidates must have 8+ years of product design experience and a degree in design or a related field.
The role is a Staff Product Manager for the Databricks Runtime team in Amsterdam, responsible for developing product strategy and launching features for data processing. Candidates must have 6+ years of experience, a bachelor's degree, and strong technical skills in cloud infrastructure and data analysis.
The role is a Staff Product Manager for the Databricks Runtime team in Berlin, responsible for developing product strategy and launching features for data processing and governance. Candidates must have 6+ years of experience, a bachelor's degree, and strong technical skills in cloud infrastructure and data analysis.
This role involves owning the product strategy and roadmap for Databricks' Agentic Platform, which enables internal teams to build production-grade agentic applications. The position requires 8+ years of product management experience, with at least 3 years focused on internal platform or developer-experience products.
This role leads the strategy and implementation of Databricks' SAP platform to automate finance operations using AI. Candidates must have 7+ years of product management experience and deep expertise in SAP implementations and agentic automation.
This role leads data security product strategy for the Databricks Lakehouse platform, focusing on privacy, confidentiality, and regulatory compliance. Candidates must have 7+ years of product management experience in enterprise B2B or SaaS, with domain expertise in data security, privacy, and encryption.
This role leads data security product strategy for the Databricks Lakehouse platform, focusing on privacy, confidentiality, and regulatory compliance. Candidates must have 7+ years of product management experience in enterprise B2B or SaaS, with domain expertise in data security, privacy, and encryption.
This role involves owning the strategy for Databricks' Serverless Workspaces platform to simplify cloud infrastructure onboarding. Candidates must have 7+ years of product management experience in cloud infrastructure or SaaS foundations, with technical depth in cloud resource management.
The role involves owning the strategy for Databricks' Serverless Workspaces platform to simplify onboarding and drive serverless adoption. Candidates must have 7+ years of product management experience in cloud infrastructure or SaaS foundations, with technical depth in cloud resource management and a data-driven mindset.
This role owns the product roadmap for Databricks in the US public sector, spanning federal, defense, and classified environments. Candidates must have enterprise product management experience and domain expertise in US government compliance and accreditation standards.
This role involves designing and automating secure cloud infrastructure across AWS, Azure, and GCP for regulated public sector environments. Candidates must have 8+ years of experience operating large-scale cloud environments and hold an active TS/SCI security clearance.
The role involves owning full-cycle recruiting for Corporate Functions roles across AMER, including Finance, Legal, and People. Candidates must have proven experience in high-growth tech industries and strong strategic partnership skills.
This role involves leading high-visibility security compliance initiatives and managing end-to-end delivery for certifications like FedRAMP and DoD IL5/IL6. Candidates must have 7+ years of experience in security program management, an active Top Secret Clearance, and reside in the Washington, DC metropolitan area.
The role involves responding to security incidents and conducting forensics for Databricks' distributed Incident Response team. Candidates must have 7+ years of experience in Incident Response and cloud security expertise in AWS, GCP, or Azure.
This role involves responding to security incidents and conducting forensics for Databricks' Incident Response team. Candidates must have a US GOV Secret clearance and 7+ years of experience in Incident Response.
The role is a Staff Software Engineer in Databricks' Engineering - Pipeline department, reporting to an Engineering Leader. Candidates must have 12+ years of experience building large-scale distributed systems and strong algorithms/data structures knowledge.
The role involves owning and re-architecting critical core platforms for scalability and reliability at Databricks. Candidates must have 12+ years of production experience in languages like Python or Java and a background in large-scale distributed systems.
The Staff Software Engineer role focuses on building the Data Intelligence Platform and metrics store for Databricks. Candidates must have 12+ years of industry experience and 4+ years building large-scale distributed systems.
The role is a Staff Software Engineer (Infrastructure) position in Bengaluru, India, focusing on backend infrastructure, distributed systems, and large-scale service architecture. Candidates must have a BS in Computer Science or related field, 12+ years of production experience in languages like Python or Java, and 6+ years developing large-scale distributed systems.
The Staff Software Engineer role focuses on building and governing Databricks' Money systems, including resource admission control and usage infrastructure. Candidates must have 12+ years of production experience in Java, Scala, or C++ and a track record in large-scale distributed systems.
The role involves leading enhancements to Databricks' search ranking, query understanding, and evaluation systems. Candidates must have 10+ years of experience developing search relevance systems at scale and a BS+ in Computer Science.
The role is a Staff Software Engineer for the Access Management team at Databricks in Bellevue, Washington. The position requires deep expertise in access management, distributed systems, and security, with a focus on setting technical direction for the core authorization service.
The role involves developing and running the research stack for Databricks AI Research, including services for scheduling and observing large-scale training and inference workloads. Candidates must have 5+ years of software engineering experience, a degree in Computer Science or related field, and deep experience with distributed systems and GPU clusters.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves designing, implementing, and operating micro-services for the Databricks platform with a backend focus. Candidates must have 10+ years of production experience in Java or Scala and expertise in large-scale distributed systems.
The role involves building backend infrastructure for the Databricks platform at scale, focusing on cloud-agnostic abstractions and engineering efficiency. Candidates must have 8+ years of experience, a CS degree, and proficiency in backend languages like Java, Scala, or Go.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates must have a CS degree and 7+ years of production experience in Java, Scala, C++, or similar languages.
The role involves building backend services for distributed systems and cloud storage integration at Databricks. Candidates must have a CS degree and 8+ years of production experience in Java, Scala, or C++.
The role involves building backend infrastructure and products for the Databricks platform at scale. Candidates must have a CS degree and 7+ years of production experience in Java, Scala, C++, or similar languages.
This role involves building large-scale distributed systems and SaaS platforms for Databricks' data and AI infrastructure. Candidates require 10+ years of production experience in Java, Scala, or C++, along with strong knowledge of algorithms, cloud technologies, and SQL.
The role involves working on backend, distributed data systems, and full-stack engineering for Databricks' data and AI infrastructure. Candidates require 12+ years of production experience in languages like Python, Java, or Scala, along with a degree in Computer Science.
The role involves building and operating the Lakebase platform, focusing on distributed systems, high-performance services, and reliability. Candidates require a BS in Computer Science and 8+ years of production experience in Java, Scala, or C++.
This Staff Software Engineer role focuses on developing AI and LLM systems for customer engagement and documentation at Databricks. Candidates must have 6+ years of experience building large-scale distributed systems and strong proficiency in machine learning and software engineering.
The Staff Software Engineer role focuses on designing and operating the cross-company Data Intelligence Platform to automate decision-making. Candidates must have 10+ years of experience building large-scale distributed systems and 4+ years of technical leadership on production data systems.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates should have a passion for database and distributed systems, with 8+ years of experience in related systems preferred.
The role involves designing and implementing next-generation query engines and storage systems for Databricks' Lakehouse architecture. Candidates should have a passion for database and distributed systems, with 8+ years of experience in related systems preferred.
The role involves designing next-generation query engines and storage systems for Databricks, focusing on areas like query optimization and distributed execution. Candidates must have 7+ years of experience in related systems and be comfortable working towards a multi-year vision.
The role involves leading the design and development of a global schema migration platform for MySQL and TiDB. Candidates must have 12+ years of experience in backend systems or platform engineering, with a track record of scaling mission-critical infrastructure.
The role involves building next-generation distributed data storage and processing systems for Databricks' Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems for the Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves building next-generation distributed data storage and processing systems on Databricks' Runtime team. Candidates require 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
The role involves driving design decisions and developing features for Databricks' data infrastructure in Belgrade. Candidates must have 8+ years of production experience in Java, Scala, or C++ and a strong foundation in distributed systems.
This role involves creating novel interfaces for GenAI agents and leading front-end and full-stack development for vertical AI applications. Candidates must have 10 years of experience with HTML, CSS, JavaScript, and modern frameworks like React.
The role is a Staff Software Engineer - Fullstack position in Databricks' new Vancouver R&D center. Candidates must have 10+ years of experience with front-end technologies like HTML, CSS, and JavaScript, as well as server-side technologies such as Node.js or Java.
This role involves leading the architecture and optimization of Databricks' GenAI inference engine for the Foundation Model API. Candidates must have strong software engineering experience in performance-critical systems and deep knowledge of ML inference internals, CUDA, and distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates must have 15+ years of experience in distributed systems and database internals, with a focus on low-level debugging and architectural design.
The role involves building scalable ingestion systems for Databricks Lakeflow Connect to process large volumes of data from various sources. Candidates must have 15+ years of experience in distributed systems and database internals, with a focus on low-level debugging and architectural design.
The role involves leading enhancements to Databricks' search quality by developing ML-based relevance models and automated NLP pipelines. Candidates must have 10+ years of experience in search relevance systems and a degree in Computer Science or a related field.
This role involves designing and managing Money systems and services to commercialize Databricks products, including billing, metering, and pricing strategies. Candidates must have technical leadership experience in large projects, distributed service infrastructure, and data pipelines at scale.
This role involves serving as the technical lead for the Bengaluru Multi Cloud Efficiency chapter, defining strategy for cloud infrastructure optimization. Candidates must have 9+ years of experience building distributed systems in Java, Scala, C++, or Go, with expertise in cloud computing and Kubernetes.
The role involves designing and maintaining SQL drivers and infrastructure for Databricks partner integrations. Candidates must have 10+ years of production experience in Java, Python, or Go, along with a track record in architecting highly performant systems.
The role involves leading enhancements to Databricks' Search Quality by developing ML-based relevance models and automated NLP pipelines. Candidates must have 10+ years of experience in search relevance systems and a degree in Computer Science or a related field.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
This role involves creating the vision and strategy for Databricks' security engineering discipline to protect customer data. Candidates must have 7+ years of experience in Data Security and expertise in at least two specified areas, along with 10+ years building large-scale distributed systems.
The role involves building the next generation of Databricks' cloud storage I/O platform to support fast and reliable reads and writes. Candidates must have 8+ years of production experience in Java, Scala, or C++ and a strong foundation in low-level systems and distributed systems.
This role involves driving the technical direction of Spark Structured Streaming across open source and Databricks components. Candidates must have 8+ years of experience in big-data ecosystems, Apache Spark, or database internals to improve latency, throughput, and state management.
This Staff Software Engineer role leads the User Activation team to drive technical vision and architecture for customer onboarding and workspace experiences. Candidates must have 15+ years of software engineering experience, 5+ years of engineering management, and expertise in full-stack development and distributed systems.
This role involves architecting and delivering Databricks' AI-native vertical workflow platform for Customer Experience Intelligence. Candidates must have technical leadership experience in distributed systems, full-stack development, and agentic automation.
This role involves defining technical foundations for Genie One across web, mobile, and desktop platforms. Candidates must have 8+ years of experience and strong JavaScript/TypeScript skills to lead cross-surface architecture and delivery.
This role leads the development of data ingestion, aggregation, and agentic workflows for advertising platform data at scale. Candidates must have 10+ years of engineering experience, including tech lead responsibilities, and hands-on experience with walled garden advertising APIs.
This role involves designing and scaling evaluation infrastructure for Databricks' AI agents to improve quality and reliability. Candidates must have strong Python skills and experience building production or research infrastructure.
This role involves owning the architecture and delivery of LLM-powered agents for marketing content workflows at Databricks. Candidates must have 12+ years of software engineering experience and hands-on experience building production LLM systems.
This role involves owning the web platform layer, including frameworks, design systems, and CI/CD pipelines, for an AI-native web experience. Candidates must have 12+ years of software engineering experience and 3+ years of engineering leadership experience.
This role involves driving the architecture and reliability systems for Databricks' AI Runtime, a serverless GPU training platform. Candidates must have 10+ years in distributed systems and deep expertise in GPU training, high-performance computing, and ML systems.
This role involves driving the architecture and evolution of Databricks' next-generation Search product, including Vector, Keyword, and Hybrid Search. Candidates must have 10+ years of experience building large-scale distributed systems and deep expertise in search technologies, indexing, and ranking.
This role leads the end-to-end data collection stack, including browser tags, mobile SDKs, and server-side endpoints. Candidates must have 10+ years of engineering experience, deep browser-side JavaScript expertise, and high-throughput server-side collection skills.
This role involves creating novel interfaces for generative AI agents and leading full-stack development for vertical AI applications in a 0-to-1 environment. Candidates must have 10+ years of experience with HTML, CSS, JavaScript, and server-side technologies, along with a proven track record of building end-to-end generative AI products.
This Staff Software Engineer role focuses on designing distributed systems for cross-region replication and recovery of Lakeflow pipelines. Candidates must have strong software engineering skills and experience with distributed systems, databases, or reliability engineering.
This role involves leading the modeling of sales and CRM objects for AI agents and developing agents for revenue teams. Candidates must have 10+ years of engineering experience and deep knowledge of major CRM data models and platforms.
This role involves driving the technical direction of ranking, relevance, and evaluation for Databricks' next-generation Search product. Candidates must have 10+ years of experience building large-scale search and ML-driven relevance systems, with deep expertise in ranking models and evaluation methodologies.
This role is a hands-on individual contributor position as Technical Lead for the Lakebase Manager team, focusing on building and operating the central control plane for database lifecycle management. The primary requirements include 8+ years of experience in large-scale distributed systems, technical leadership without formal management authority, and proficiency in Go, Rust, or similar systems languages.
The Staff Software Engineer for Customer Experience Intelligence will architect and deliver Databricks' AI-native vertical workflow platform. The role requires extensive backend development experience, familiarity with distributed systems, and hands-on experience with LLM orchestration frameworks.
The role involves building LLM infrastructure for large-scale inference workloads using partner and self-hosted models. Candidates must have 8+ years of backend or infrastructure engineering experience with distributed systems and scalable APIs.
The role involves building backend connectivity services and leading the design of new services for Databricks' networking infrastructure in Bengaluru. Candidates must have 12+ years of production experience in languages like Python or Java, along with 7+ years developing large-scale distributed systems.
This role involves designing and scaling distributed backend systems for Databricks' public sector data platform in sovereign and air-gapped cloud environments. Candidates must have 9+ years of experience and strong production-level proficiency in Java, Scala, Go, or C++.
The role involves owning search quality for both AI agents and human users by optimizing hybrid retrieval and ranking models. Candidates must have expertise in Lucene/Elasticsearch, embeddings, and ranking algorithms, with a focus on building evaluation frameworks for relevance metrics.
This role involves architecting long-term system stability and leading incident response for Databricks' secure government infrastructure. Candidates must have 7+ years of experience in systems engineering and hold an active TS/SCI clearance.
This role involves leading high-visibility security compliance initiatives and managing end-to-end delivery for new certifications and federal authorizations. Candidates must hold an active Top Secret clearance, reside in the Washington, D.C. area, and possess 7+ years of experience in security and technical program management.
This Staff Technical Program Manager role leads complex, cross-functional platform initiatives at Databricks, partnering with engineering, product, and go-to-market teams to drive global enterprise adoption. Candidates must have 10+ years of experience leading large-scale programs in enterprise software, with strong stakeholder alignment and data-driven execution skills.
This Staff Technical Program Manager role drives security execution across infrastructure initiatives for authentication, access control, and anomaly detection. Candidates must have 8+ years of technical program management experience and deep literacy in IAM, data privacy, and distributed systems.
This Staff Technical Program Manager role drives security execution across infrastructure initiatives for authentication, access control, and anomaly detection. Candidates must have 8+ years of technical program management experience and deep literacy in IAM, data privacy, and distributed systems.
This role involves ensuring platform reliability and unblocking secure engineering pipelines for Databricks' multi-cloud data enclaves in air-gapped environments. Candidates must have 7+ years of experience in systems or cloud infrastructure and hold an active Top Secret/SCI clearance.
The role is a Staff Technical Solutions Engineer for the Platform Support team, requiring 12+ years of experience in Databricks or cloud data platforms. The engineer will serve as the primary point of contact for escalated issues, manage high-priority incidents, and collaborate with internal teams to improve platform stability.
This role involves driving and mentoring Data & AI technical solutions for customer issues, including deep dives into production pipelines and AI workflows. Candidates must have 8 years of data pipeline experience, mandatory Spark expertise, and 5 years of Big Data technology development.
This role leads the evolution of Databricks' global communication and workplace technology infrastructure, focusing on enterprise voice, conferencing, and AV systems. Candidates must have 8+ years of experience supporting enterprise unified communications and strong expertise in networking, troubleshooting, and automation.
The role involves closing new accounts and expanding existing ones within the Commercial & Mid-Market Sales department. Candidates must have at least one year of closing sales experience and prior experience in big data, cloud, or SaaS sales.
This role involves selling Databricks' platform to startup and mid-market accounts to drive consumption growth and close deals. Candidates must have direct sales experience with a consumption-based motion and the ability to guide technical buyers through the sales process.
The role involves closing new accounts and expanding existing ones in the commercial and mid-market sales department. Candidates must have at least one year of closing sales experience and prior experience in big data, cloud, or SaaS sales.
The role is an Account Executive in Enterprise Sales focused on acquiring new accounts across the Nordics Market. Candidates must have direct sales experience in a consumption business and the ability to manage full sales cycles.
This role is an Enterprise Account Executive at Databricks responsible for selling to Fortune 500 accounts in the Telco organization. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and experience in big data or cloud sales.
This role involves selling Databricks' data and AI platform to banking enterprises, focusing on executive relationships and new business development. Candidates must have extensive experience in enterprise software sales, regulated industries, and co-selling with cloud partners.
The Strategic Account Executive role focuses on growing a strategic Consumer Goods customer within the UK market. The position requires essential experience in selling to the CPG sector, managing large multi-national accounts, and leading complex sales campaigns.
This role involves growing a top strategic customer in the UK rail and public transport sector for Databricks. The position requires experience selling to large enterprise accounts in the transport or public sector and managing complex, multi-stakeholder relationships.
The Strategic Account Executive role focuses on growing a strategic energy customer within the Benelux region. Candidates must have essential experience selling to the energy sector and managing large, complex multi-national accounts.
The role involves growing a strategic energy customer within the Life Science industry by developing business plans and leading data and AI use cases. Candidates must have experience selling to global enterprises, managing complex multi-national accounts, and exceeding sales quotas in high-growth software companies.
The Strategic Account Executive role focuses on growing Databricks' Medtech customers in the Benelux region by developing business plans and leading complex sales campaigns. Candidates must have essential experience selling to Medtech or manufacturing accounts, exceeding enterprise software quotas, and co-selling with cloud vendors.
The Strategic Account Executive, Public Sector role involves owning strategic sales for a major Canadian public sector customer and driving adoption of Databricks' data and AI platform. Candidates must have 7+ years of SaaS or cloud sales experience in the public sector and speak fluent French.
This role involves identifying and securing new opportunities within Space Force accounts for Databricks. Candidates must have extensive hunting experience and a track record of selling complex technical cloud solutions in data and AI.
The Strategic Account Executive role focuses on driving strategic relationships and revenue growth for key Databricks customers in the Nordic region. Candidates must have proven experience in strategic account management and strong communication skills to build relationships with C-level stakeholders.
This role involves selling Databricks' data and AI platform to enterprise customers in France to drive consumption and meet booking goals. Candidates must have extensive experience in complex enterprise sales, technical product knowledge, and managing federated sales campaigns.
This role is a Strategic Core Account Executive in the Sales department based in San Francisco, California. The position requires 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to manage a small set of enterprise accounts in the Manufacturing sector.
This role involves managing a strategic enterprise client in the DNB vertical for Databricks' Digital Natives team. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to drive value-based growth and exceed revenue targets.
This role involves selling Databricks' data and AI solutions to enterprise customers in Israel, focusing on growing consumption and identifying new use cases. Candidates must have extensive experience in complex enterprise sales, technical product knowledge, and managing federated sales campaigns.
This role involves leading go-to-market campaigns for major regional accounts and driving value-based growth within enterprise accounts. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role is an Enterprise Account Executive in the Enterprise Sales department responsible for leading go-to-market campaigns in Fortune 500 accounts, specifically within the TELCO space. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves selling Databricks' enterprise cloud data platform to retail and other enterprise accounts, focusing on closing net new logos and managing complex sales cycles. Candidates must have 7+ years of field sales experience in big data, cloud, or SaaS, along with a Bachelor's degree.
This role involves selling Databricks' enterprise cloud data platform to telco and other enterprise accounts, focusing on closing net new logos and managing complex sales cycles. Candidates must have 7+ years of field sales experience in big data, cloud, or SaaS, along with a Bachelor's degree.
This role involves managing a strategic automotive/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the automotive vertical and strong consultative skills in data and AI solutions.
This role involves managing a strategic automotive/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the automotive vertical and strong consultative skills in data and AI solutions.
This role is an Enterprise Account Executive for Databricks focusing on CMEG Telco accounts. Candidates need 7+ years of enterprise sales experience, a Bachelor's degree, and expertise in Big Data, Cloud, and SaaS sales.
This role involves managing a strategic enterprise client within a large Indian conglomerate, focusing on expanding Databricks' footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience in big data or cloud, with a Bachelor's degree and the ability to simplify technical capabilities into value-based benefits.
This role involves leading go-to-market campaigns for Fortune 500 accounts in the CPG vertical, focusing on expanding Databricks' footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves leading enterprise sales for Databricks within the Swiss insurance sector, focusing on big data and AI solutions. Candidates must have extensive experience in direct enterprise software sales, executive relationship management, and quota over-achievement.
This role involves managing a strategic insurance account in Munich, focusing on building relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the insurance or financial services sector and strong consultative skills in data and AI.
This role involves leading enterprise sales for Databricks in the Swiss Pharma/Life-Science sector, focusing on big data and AI solutions. Candidates must have extensive experience in direct enterprise software sales, executive relationship management, and complex regulated industries.
This role involves managing strategic enterprise clients in the Retail vertical for Databricks, focusing on expanding the company's footprint and driving revenue growth. Candidates must have 7+ years of enterprise sales experience, a Bachelor's degree, and the ability to simplify technical capabilities into value-based benefits.
This role involves managing a strategic Retail/OEM account in Germany, focusing on building C-level relationships and closing new business opportunities. Candidates must have proven enterprise sales experience in the Retail domain and strong consultative skills in data and AI solutions.
This role is a Strategic Account Executive for Databricks' Public Sector team, focused on selling to Federal System Integrators. Candidates must have 7+ years of enterprise sales experience, FSI relationships, and a Bachelor's degree.
This role involves selling Databricks' data and AI platform to financial services clients in France. Candidates must have enterprise sales experience, executive relationship management skills, and fluency in French and English.
This role is an enterprise sales position based in Rio de Janeiro focused on increasing Databricks consumption for Petrobras. Candidates must have direct account experience with Petrobras and a successful history in incremental consumption sales models.
This role involves acquiring strategic digital native enterprises in the Greater China Region by prospecting new accounts and growing existing ones. Candidates must have 7+ years of SaaS sales experience, Mandarin proficiency, and expertise in solution-based selling.
This role involves acquiring strategic digital native enterprises in the Greater China Region by prospecting new accounts and growing existing ones. Candidates must have 7+ years of SaaS sales experience, proficiency in Mandarin, and a solution-focused approach to selling Databricks' cloud data platform.
This role is an Enterprise Account Executive for Databricks focusing on CMEG accounts. Candidates need 7+ years of enterprise sales experience and a Bachelor's degree.
This role involves selling Databricks' data platform to large healthcare and payer accounts, focusing on growing a single strategic client. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex sales cycles.
This role involves selling Databricks' data platform to large healthcare accounts, focusing on growing two strategic provider relationships. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex sales cycles.
This role involves selling Databricks' data platform to large pharmaceutical accounts, focusing on expanding customer vision and closing deals. Candidates must have 7+ years of sales experience, a Bachelor's degree, and expertise in big data or cloud technologies.
This role involves selling Databricks' data platform to a single strategic pharmaceutical account in the Northeast US. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise deals.
This role involves selling Databricks' data platform to a strategic medical device account within the Life Sciences division. Candidates must have 7+ years of sales experience, field sales background in big data or SaaS, and the ability to manage complex enterprise deals.
This role involves selling Databricks' data and AI platform to large enterprises in the Media segment in France. Candidates must have extensive direct sales experience, executive relationship management skills, and fluency in French and business English.
This role involves identifying and securing new opportunities within France's leading enterprise accounts for Databricks. Candidates must have extensive hunting experience, a track record in selling complex technical cloud solutions, and fluency in French and English.
This role is an Enterprise Account Executive within Databricks' Public Sector Sales team, responsible for closing net new accounts and driving platform adoption in the Australian Federal Sector. Candidates must have proven enterprise or public sector sales experience, strong communication skills, and a strategic approach to managing the end-to-end sales cycle.
The Strategy & Execution Manager supports Databricks' Partner Strategy & Operations team by scaling partnerships strategy and leading cross-functional initiatives. The role requires 7+ years of strategy and operations experience, strong analytical skills, and the ability to manage high-impact programs with executive stakeholders.
This role manages demand generation programs across the APJ region for Databricks, partnering with Sales Development to build AI-native top-of-funnel engines. Candidates must be AI-fluent, operationally rigorous, and skilled in SQL and data analysis to design, execute, and optimize high-volume demand gen initiatives.
The role involves designing and implementing systems for query engines, vector databases, and storage within the Database Engine team. Candidates must hold a PhD in databases or systems and demonstrate a passion for database and distributed systems.
The role involves designing and implementing systems for query engines, vector databases, and storage within the Database Engine team. Candidates must hold a PhD in databases or systems and demonstrate a passion for database and distributed systems.
This role involves architecting tax process redesigns and building automation solutions to manage finance data pipelines for the global tax organization. Candidates must have 6+ years of experience in tax automation or data engineering, with proficiency in SQL, Python, and the Databricks platform.
This role leads platform monitoring and incident response for the Databricks Platform, focusing on observability and customer reliability. Candidates must have 6+ years of SRE experience, 2+ years leading engineers, and proficiency in cloud providers, Kubernetes, and monitoring tools.
The role involves leading a team of 10-15 Executive Assistants supporting G&A functions in Costa Rica and Serbia. Candidates must have 5+ years of management experience, a Bachelor's degree, and strong communication skills in English and Spanish.
This role is a Tech Lead Manager for Lakebase in London, responsible for leading a small team of five to six engineers while remaining hands-on with architecture and coding. Candidates must have at least five years of engineering experience, strong technical depth in distributed systems, and people management or tech lead experience.
The Technical Business Development Manager runs Databricks' startup program and founder events in San Francisco. The role requires strong AI technical skills, operational discipline, and relationship-building with founders and venture firms.
This role leads the development of AI-native onboarding programs for new Field Engineers at Databricks. The specialist must build scalable enablement solutions and codify role-readiness standards for technical GTM teams.
The Technical Program Manager role involves leading commercial delivery for the Forward Deployed Engineering team, managing projects from single individuals to multi-person teams. Candidates must have experience leading enterprise-scale data or AI/ML projects and managing teams with contract values over $0.5 million.
The role involves leading a portfolio of complex, high-visibility technical programs within Databricks' Professional Services Operations. Candidates must have 5-8 years of experience managing technical programs and obtain PMP and Databricks Associate certifications within six months.
This role leads a portfolio of complex, high-visibility technical programs within Databricks' Forward Deployed Engineering division. Candidates must have extensive experience managing technical programs and intermediate technical fluency, with a Databricks Associate-level Certification required within six months.
The Delivery Solutions Architect role involves collaborating with sales and field engineering teams to accelerate Databricks platform adoption and utilization. Candidates must provide technical guidance for complex workloads and design scalable, secure architectures.
Current official-feed vacancies. Follow each job for its complete description and application terms.
Profile reviewed 2026-10-30. City-level approximate marker; not a lab street address.